49 datasets found
  1. d

    NYC Dog Licensing Dataset

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Mar 1, 2025
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    data.cityofnewyork.us (2025). NYC Dog Licensing Dataset [Dataset]. https://catalog.data.gov/dataset/nyc-dog-licensing-dataset
    Explore at:
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    Active Dog Licenses. All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

  2. cats_vs_dogs

    • huggingface.co
    • tensorflow.org
    • +1more
    Updated May 23, 2024
    + more versions
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    Microsoft (2024). cats_vs_dogs [Dataset]. https://huggingface.co/datasets/microsoft/cats_vs_dogs
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    Microsofthttp://microsoft.com/
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Dataset Card for Cats Vs. Dogs

      Dataset Summary
    

    A large set of images of cats and dogs. There are 1738 corrupted images that are dropped. This dataset is part of a now-closed Kaggle competition and represents a subset of the so-called Asirra dataset. From the competition page:

    The Asirra data set Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/cats_vs_dogs.

  3. Leading considerations when buying pet food U.S. 2025

    • statista.com
    Updated Jun 11, 2025
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    M. Shahbandeh (2025). Leading considerations when buying pet food U.S. 2025 [Dataset]. https://www.statista.com/topics/1258/pets/
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    M. Shahbandeh
    Description

    As of 2025, approximately 42 percent of consumers in the United States with over 50k$ household income considered it important for the food to have natural ingredients. A high percentage of pet owners also found the price important factors to keep in mind when making a purchasing decision.

  4. Weight distribution of dogs in the U.S. 2018

    • statista.com
    Updated Mar 4, 2022
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    Statista (2022). Weight distribution of dogs in the U.S. 2018 [Dataset]. https://www.statista.com/statistics/524851/obese-and-overweight-dogs-share-in-the-us/
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    Dataset updated
    Mar 4, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2018 - Nov 2018
    Area covered
    United States
    Description

    This survey depicts the prevalence of obese and overweight pet dogs in the United States as of 2018. Around 19 percent of dogs were reported to be obese and some 37 percent to be overweight.

  5. d

    Directory of Dog Runs and Off-Leash Areas

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Nov 1, 2024
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    data.cityofnewyork.us (2024). Directory of Dog Runs and Off-Leash Areas [Dataset]. https://catalog.data.gov/dataset/directory-of-dog-runs-and-off-leash-areas
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    Dataset updated
    Nov 1, 2024
    Dataset provided by
    data.cityofnewyork.us
    Description

    Dog runs in New York City Department of Parks & Recreation properties and properties with off-leash hours for dogs.

  6. d

    DOHMH Dog Bite Data

    • catalog.data.gov
    • data.cityofnewyork.us
    • +1more
    Updated Feb 21, 2025
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    data.cityofnewyork.us (2025). DOHMH Dog Bite Data [Dataset]. https://catalog.data.gov/dataset/dohmh-dog-bite-data
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    NYC Reported Dog Bites. Section 11.03 of NYC Health Code requires all animals bites to be reported within 24 hours of the event. Information reported assists the Health Department to determine if the biting dog is healthy ten days after the person was bitten in order to avoid having the person bitten receive unnecessary rabies shots. Data is collected from reports received online, mail, fax or by phone to 311 or NYC DOHMH Animal Bite Unit. Each record represents a single dog bite incident. Information on breed, age, gender and Spayed or Neutered status have not been verified by DOHMH and is listed only as reported to DOHMH. A blank space in the dataset means no data was available.

  7. NYC Dog Licenses

    • kaggle.com
    Updated Jan 12, 2019
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    Smitha Achar (2019). NYC Dog Licenses [Dataset]. https://www.kaggle.com/datasets/smithaachar/nyc-dog-licensing-clean
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 12, 2019
    Dataset provided by
    Kaggle
    Authors
    Smitha Achar
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    New York
    Description

    Context

    I have taken this dataset from the NYC Open Data Website: https://data.cityofnewyork.us

    I wanted to use the cleaned version of this dataset and I thought people might like to use this version. The original dataset was last updated on 10th September 2018.

    Description: All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

    Content

    The original dataset contained 122K rows and 15 columns. After cleaning the data, the count has reduced to 121862 rows.

    Acknowledgements

    Thank you to the city of new york for collecting and providing this data! As well as the NYC Department of Health who acquired this data from owners who registered their dogs for the dog license.

    Inspiration

    I'll let you guys get creative and explore the dataset.

  8. l

    Animal Shelter Data

    • data.longbeach.gov
    • longbeach.opendatasoft.com
    csv, excel, geojson +1
    Updated Jul 30, 2025
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    (2025). Animal Shelter Data [Dataset]. https://data.longbeach.gov/explore/dataset/animal-shelter-intakes-and-outcomes/
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    geojson, csv, json, excelAvailable download formats
    Dataset updated
    Jul 30, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset comprises of the intake and outcome record from Long Beach Animal Shelter.

  9. f

    Summary data for dogs denied entry to the United States by year, January 1,...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
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    Emily G. Pieracci; Cara E. Williams; Ryan M. Wallace; Cheryl R. Kalapura; Clive M. Brown (2023). Summary data for dogs denied entry to the United States by year, January 1, 2018—December 31,2020. [Dataset]. http://doi.org/10.1371/journal.pone.0254287.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Emily G. Pieracci; Cara E. Williams; Ryan M. Wallace; Cheryl R. Kalapura; Clive M. Brown
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Summary data for dogs denied entry to the United States by year, January 1, 2018—December 31,2020.

  10. h

    stanford-dogs

    • huggingface.co
    Updated Dec 24, 2024
    + more versions
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    Andrew Mayes (2024). stanford-dogs [Dataset]. https://huggingface.co/datasets/amaye15/stanford-dogs
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 24, 2024
    Authors
    Andrew Mayes
    Description

    amaye15/stanford-dogs dataset hosted on Hugging Face and contributed by the HF Datasets community

  11. Consumption of frankfurters and hot dogs in the U.S. 2011-2024

    • statista.com
    Updated May 6, 2025
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    Statista (2025). Consumption of frankfurters and hot dogs in the U.S. 2011-2024 [Dataset]. https://www.statista.com/statistics/282293/us-households-consumption-of-frankfurters-and-hot-dogs-trend/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the consumption of frankfurters and hot dogs in the United States from 2011 to 2020 and a forecast thereof until 2024. The data has been calculated by Statista based on the U.S. Census data and Simmons National Consumer Survey (NHCS). According to this statistic, 255.28 million Americans consumed frankfurters and hot dogs in 2020. This figure is projected to increase to 261.42 million in 2024.

  12. f

    Table 1_Replicating the real-world evidence methods available in human...

    • frontiersin.figshare.com
    docx
    Updated Feb 21, 2025
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    Andrea Wright; Dean Taylor; Mollie Lowe; Sophie Barlow; James Jackson (2025). Table 1_Replicating the real-world evidence methods available in human health to assess burden and outcomes for dogs with chronic kidney disease, their owners, and the veterinary healthcare system in the United States of America.docx [Dataset]. http://doi.org/10.3389/fvets.2025.1502933.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Frontiers
    Authors
    Andrea Wright; Dean Taylor; Mollie Lowe; Sophie Barlow; James Jackson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    IntroductionChronic kidney disease (CKD) in canines is a progressive condition characterized by a gradual decline in kidney function. There are significant gaps in understanding how CKD is managed in canines and the full extent of its impact. This study aimed to characterize disease management of CKD and its impact on dogs, their owners and the veterinary healthcare system in the United States of America (United States).MethodsData were drawn from the Adelphi Real World Canine CKD Disease Specific Programme™, a cross-sectional survey of veterinarians, pet owners and their dogs with CKD in the United States from December 2022 to January 2024. Veterinarians reported demographic, diagnostic, treatment, and healthcare utilization data, for dogs with CKD. Owners voluntarily completed questionnaires, providing data about their dog, as well as quality of life and work-related burden using the Dog Owners Quality of Life, and the Work Productivity and Activity Impairment questionnaires. Analyses were descriptive and Cohen’s Kappa was used to measure agreement between owners and veterinarians.ResultsA total of 117 veterinarians provided data for 308 dogs, of which 68 owners also reported information. Discrepancies in recognizing symptoms of CKD in dogs, particularly excessive water consumption and urination, were identified between veterinary professionals and owners. Interventions for managing CKD in dogs focused on controlling symptoms and supporting kidney function through dietary modifications and medication. Owners of dogs with CKD reported minimal impact to overall work and activity impairment (10 and 14%, respectively). At diagnosis, 78.6% of dogs were International Renal Interest Society Stage I-II, and 21.5% were Stage III-IV. Regardless of CKD stage, owners strongly agreed that ownership provided them with emotional support and companionship. Regarding veterinary healthcare utilization, 95% of dogs were seen in general veterinary practices.DiscussionThese findings emphasize the value of real-world evidence in enhancing our understanding of CKD in companion animals and informs future strategy for the real-world diagnosis and treatment of CKD. The results also provide insights to the potential burden experienced by owners of dogs with CKD.

  13. Cats & Dogs

    • kaggle.com
    Updated May 7, 2025
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    Simon Weckert (2025). Cats & Dogs [Dataset]. https://www.kaggle.com/datasets/simonweckert/cats-and-dogs
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 7, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Simon Weckert
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    In this competition, you'll write an algorithm to classify whether images contain either a dog or a cat. This is easy for humans, dogs, and cats. Your computer will find it a bit more difficult.

    https://www.ethosvet.com/wp-content/uploads/cat-dog-625x375.png" alt="">

    The Asirra data set

    Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) or HIP (Human Interactive Proof). HIPs are used for many purposes, such as to reduce email and blog spam and prevent brute-force attacks on web site passwords.

    Asirra (Animal Species Image Recognition for Restricting Access) is a HIP that works by asking users to identify photographs of cats and dogs. This task is difficult for computers, but studies have shown that people can accomplish it quickly and accurately. Many even think it's fun! Here is an example of the Asirra interface:

    Asirra is unique because of its partnership with Petfinder.com, the world's largest site devoted to finding homes for homeless pets. They've provided Microsoft Research with over three million images of cats and dogs, manually classified by people at thousands of animal shelters across the United States. Kaggle is fortunate to offer a subset of this data for fun and research. Image recognition attacks

    While random guessing is the easiest form of attack, various forms of image recognition can allow an attacker to make guesses that are better than random. There is enormous diversity in the photo database (a wide variety of backgrounds, angles, poses, lighting, etc.), making accurate automatic classification difficult. In an informal poll conducted many years ago, computer vision experts posited that a classifier with better than 60% accuracy would be difficult without a major advance in the state of the art. For reference, a 60% classifier improves the guessing probability of a 12-image HIP from 1/4096 to 1/459. State of the art

    The current literature suggests machine classifiers can score above 80% accuracy on this task [1]. Therfore, Asirra is no longer considered safe from attack. We have created this contest to benchmark the latest computer vision and deep learning approaches to this problem. Can you crack the CAPTCHA? Can you improve the state of the art? Can you create lasting peace between cats and dogs?

    Submission Format

    Your submission should have a header. For each image in the test set, predict a label for its id (1 = dog, 0 = cat):

    id,label 1,0 2,0 3,0 etc...

  14. U

    Black-tailed prairie dog capture data from plots treated and not treated...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated Oct 15, 2021
    + more versions
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    Marc Matchett; Matthew McCollister; David Eads (2021). Black-tailed prairie dog capture data from plots treated and not treated with oral plague vaccine from 2013-2017 in Montana [Dataset]. http://doi.org/10.5066/P9JAZVE6
    Explore at:
    Dataset updated
    Oct 15, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Marc Matchett; Matthew McCollister; David Eads
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jun 1, 2013 - Aug 31, 2017
    Area covered
    Montana
    Description

    Oral sylvatic plague vaccine baits (SPV) and placebo baits were distributed once annually from 2013-2016 on treated and non-treated paired plots from 2013-2016. Black-tailed prairie dogs (BTPD) were live-trapped and permanently marked with passive integrated transponders and ear tags on 4 pairs of plots each year from 2013-2017 to provide capture/recapture data for use in estimating BTPD survival. The first data set (CMR_SPV_RAW_CAPTURE_DATA.csv) lists all captures and associated covariates with each line representing data from a single prairie dog. The second data set (CMR_BTPD_WEIGHTS.csv) lists the weight and associated information for each prairie dog at each handling. The third data set (CMR_FLEAS_BY_HOST.csv) lists the number of fleas collected from each prairie dog at each handling. Funding was provided through the U.S. Fish and Wildlife Service, multiple USGS sources, grants from the Western Association of Fish and Wildlife Agencies, Montana Fish Wildlife and Parks and ...

  15. US Pet Treats Market Size & Share Analysis - Industry Research Report -...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jan 3, 2025
    + more versions
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    Mordor Intelligence (2025). US Pet Treats Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/us-pet-treats-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2017 - 2030
    Area covered
    United States
    Description

    The US Pet Treats Market report segments the industry into Sub Product (Crunchy Treats, Dental Treats, Freeze-dried and Jerky Treats, Soft & Chewy Treats, Other Treats), Pets (Cats, Dogs, Other Pets), and Distribution Channel (Convenience Stores, Online Channel, Specialty Stores, Supermarkets/Hypermarkets, Other Channels). Includes five years of historical data and market forecasts for the next five years.

  16. g

    Dog spatial impulsivity and owner perceptions of dog impulsivity dataset

    • github.com
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    Dog spatial impulsivity and owner perceptions of dog impulsivity dataset [Dataset]. https://github.com/unl-cchil/dogspatialchoice
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    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    The dataset from the paper Do owners know how impulsive their dogs are?. Two data sets were collected. Data set 1 involved 117 dog-owner pairs from Lincoln, Nebraska, USA between Nov 2018 - Jul 2021. Data set 2 involved 103 dog-owner pairs from Lincoln, Nebraska, USA between Aug 2020 - Oct 2021. In the first data file, each row represents behavioral and survey responses from a single dog. In the second data file, each row represents the responses of a single owner for a particular survey scale.

  17. d

    Data from: An early dog from Southeast Alaska supports a coastal route for...

    • datadryad.org
    • data.niaid.nih.gov
    • +3more
    zip
    Updated Jan 29, 2021
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    Flavio Augusto da Silva Coelho; Stephanie Gill; Crystal Tomlin; Timothy Heaton; Charlotte Lindqvist (2021). An early dog from Southeast Alaska supports a coastal route for the first dog migration into the Americas [Dataset]. http://doi.org/10.5061/dryad.tb2rbp000
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 29, 2021
    Dataset provided by
    Dryad
    Authors
    Flavio Augusto da Silva Coelho; Stephanie Gill; Crystal Tomlin; Timothy Heaton; Charlotte Lindqvist
    Time period covered
    Jan 28, 2021
    Area covered
    Alaska, Americas, Southeast Alaska
    Description

    The oldest confirmed remains of domestic dogs in North America are from mid-continent archeological sites dated ~9,900 calibrated years before present (cal BP). Although this date suggests that dogs may not have arrived alongside the first Native Americans, the timing and routes for the entrance of New World dogs are unclear. Here, we present a complete mitochondrial genome of a dog from Southeast Alaska, dated to 10,150 ± 260 cal BP. We compared this high-coverage genome with data from modern dog breeds, historical Arctic dogs, and American precontact dogs (PCDs) from before European arrival. Our analyses demonstrate that the ancient dog shared a common ancestor with PCDs that lived ~14,500 years ago and diverged from Siberian dogs around 16,000 years ago, coinciding with the minimum suggested date for the opening of the North Pacific coastal (NPC) route along the Cordilleran Ice Sheet and genetic evidence for the initial peopling of the Americas. This ancient Southeast Alaskan dog occ...

  18. Dog Food Market Analysis, Size, and Forecast 2024-2028: North America (US...

    • technavio.com
    Updated Aug 15, 2024
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    Technavio (2024). Dog Food Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, Italy, and UK), Middle East and Africa (Egypt, KSA, Oman, and UAE), APAC (China, India, and Japan), South America (Argentina and Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/dog-food-market-industry-analysis
    Explore at:
    Dataset updated
    Aug 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, Canada, Saudi Arabia, France, United Kingdom, United States, Global
    Description

    Snapshot img

    Dog Food Market Size 2024-2028

    The dog food market size is forecast to increase by USD 16.1 billion, at a CAGR of 4.39% between 2023 and 2028.

    The market is driven by the rising trend of pet health awareness, leading to an increasing demand for premium and nutritious dog food options. Pet adoption rates continue to soar, fueled by the humanization of pets and their integration into families as companions. Additionally, changing lifestyle patterns and the busy work lives of urban populations have resulted in a growing preference for convenient, ready-to-serve dog food solutions. However, the market faces challenges in the form of stringent regulations governing pet food labeling and safety standards.
    Ensuring compliance with these regulations can be a significant obstacle for market entrants. Furthermore, the growing trend of natural and organic pet food may put pressure on companies to source high-quality, sustainable ingredients, increasing production costs. To capitalize on opportunities and navigate these challenges, companies must focus on innovation, sustainability, and transparency in their product offerings and business practices.
    

    What will be the Size of the Dog Food Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
    Request Free Sample

    The market continues to evolve, with ongoing innovations in ingredient sourcing, formulation, and processing techniques shaping the industry's landscape. For instance, sodium content levels and calorie density calculation are increasingly important considerations for pet owners seeking to maintain their pets' health. Antioxidant inclusion, mineral fortification, and gut microbiome impact are other key areas of focus. Dry kibble formulation undergoes pet food extrusion, ensuring optimal nutrient retention and palatability. Quality control measures, ingredient interaction, and shelf life extension are crucial aspects of manufacturing, while digestive health support, amino acid analysis, and allergen management are essential for meeting diverse consumer needs.

    Food safety protocols, calcium phosphorus ratio, taurine content, crude fiber content, and palatability testing are integral parts of the production process. Canned food processing, meat by-product utilization, moisture content regulation, and pet food digestibility are additional areas of research and development. Prebiotic fiber types, fatty acid profile, protein source identification, probiotic strain selection, vitamin supplementation, and novel protein sources are some of the emerging trends in the market. The AAFCO statement plays a vital role in ensuring standardized nutritional labeling and kibble texture analysis. Industry growth is expected to reach 5% annually, driven by increasing pet ownership, rising consumer awareness, and advancements in pet nutrition technology.

    For example, a leading pet food manufacturer reported a 12% increase in sales due to the introduction of a grain-free formulation with improved digestibility and gut health benefits.

    How is this Dog Food Industry segmented?

    The dog food industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Product
    
      Dry dog food
      Dog treats and snacks
      Wet dog food
    
    
    Distribution Channel
    
      Offline
      Online
    
    
    Formulation
    
      Natural/Organic
      Grain-Free
      High-Protein
      Weight Management
    
    
    Price Range
    
      Premium
      Mid-Range
      Economy
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        Egypt
        KSA
        Oman
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Argentina
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

    The dry dog food segment is estimated to witness significant growth during the forecast period.

    In the dynamic pet food industry, dry kibble remains the dominant product category in 2023, catering to the nutritional needs of dogs with proteins, vitamins, and minerals. Packaging innovations and attractive designs are key trends, boosting sales growth. Manufacturers are expanding their consumer base through strategies like mergers and acquisitions. For instance, Hill's Pet Nutrition's acquisition of Nutriamo's Italian canned pet food manufacturing facility in May 2022. Mineral fortification and antioxidant inclusion are essential aspects of pet food production, ensuring optimal health support for pets. Sodium content levels are carefully managed to maintain a balance between taste and health.

    Calorie density calculation is crucial for addressing the varying energy requirements of different dog breeds and sizes. Pet food extrusion and ca

  19. f

    Table_2_Lifetime prevalence of owner-reported medical conditions in the 25...

    • frontiersin.figshare.com
    xlsx
    Updated Nov 3, 2023
    + more versions
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    Kiersten K. Forsyth; Brianah M. McCoy; Sarah M. Schmid; Daniel E. L. Promislow; Noah Snyder-Mackler; the DAP Consortium (2023). Table_2_Lifetime prevalence of owner-reported medical conditions in the 25 most common dog breeds in the Dog Aging Project pack.XLSX [Dataset]. http://doi.org/10.3389/fvets.2023.1140417.s002
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    xlsxAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Kiersten K. Forsyth; Brianah M. McCoy; Sarah M. Schmid; Daniel E. L. Promislow; Noah Snyder-Mackler; the DAP Consortium
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionLarge scale data on the prevalence of diverse medical conditions among dog breeds in the United States are sparse. This cross-sectional study sought to estimate the lifetime prevalence of medical conditions among US dogs and to determine whether purebred dogs have higher lifetime prevalence of specific medical conditions compared to mixed-breed dogs.MethodsUsing owner-reported survey data collected through the Dog Aging Project (DAP) Health and Life Experience Survey for 27,541 companion dogs, we identified the 10 most commonly reported medical conditions in each of the 25 most common dog breeds within the DAP cohort. Lifetime prevalence estimates of these medical conditions were compared between mixed-breed and purebred populations. The frequency of dogs for whom no medical conditions were reported was also assessed within each breed and the overall mixed-breed and purebred populations.ResultsA total of 53 medical conditions comprised the top 10 conditions for the 25 most popular breeds. The number of dogs for whom no medical conditions were reported was significantly different (p = 0.002) between purebred (22.3%) and mixed-breed dogs (20.7%). The medical conditions most frequently reported within the top 10 conditions across breeds were dental calculus (in 24 out of 25 breeds), dog bite (23/25), extracted teeth (21/25), osteoarthritis (15/25), and Giardia (15/25).DiscussionPurebred dogs in the DAP did not show higher lifetime prevalence of medical conditions compared to mixed-breed dogs, and a higher proportion of purebred dogs than mixed-breed dogs had no owner-reported medical conditions. Individual breeds may still show higher lifetime prevalence for specific conditions.

  20. d

    Data on prairie dog densities, flea abundance, and plague epizootics in...

    • datasets.ai
    • data.usgs.gov
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    55
    Updated Sep 11, 2024
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    Department of the Interior (2024). Data on prairie dog densities, flea abundance, and plague epizootics in Montana and Utah, USA [Dataset]. https://datasets.ai/datasets/data-on-prairie-dog-densities-flea-abundance-and-plague-epizootics-in-montana-and-utah-usa
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    55Available download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Montana, Utah, United States
    Description

    Data on prairie dog densities, flea abundance on prairie dogs, and plague epizootics in Montana and Utah, USA, 2003-2005. Prairie dog species (PDspecies in the data file) included black-tailed prairie dogs (PDs) (BTPD, Cynomys ludovicianus) in north-central Montana, white-tailed PDs (WTPD, Cynomys leucurus) in eastern Utah, and Utah PDs (UPD, Cynomys parvidens) in southwestern Utah. Field research was completed by the U.S. Geological Survey, Fort Collins Science Center, and colleagues.
    We used summertime visual counts as an index to PD densities (Pddensity in the data file). For each plot, we counted PDs using binoculars and/or spotting scopes from a single location outside the plot that gave the best view of the entire plot and repeated these counts on three (usually consecutive) days. We began counts just after sunrise and continued to conduct repeated systematic scans of the plot until the counts declined to about half the peak number (usually by late morning as PDs went below ground for their typical mid-day break). We converted the counts to density estimates (counts per hectare [ha]).The estimate we used to calculate density was the highest count obtained from a plot for the 3 days within a given year. We analyzed data from colonies experiencing a plague epizootic during this particular study (with an epizootic defined as greater than or equal to 90% decline in PD density). We indexed annual population change (PDpopchgProportion in the data file) by subtracting the count density estimate of the year before a plague epizootic (t1) from the density estimate during an epizootic (t2) for each plot, and dividing that by the density estimate from t1 to summarize population change as a proportionate change. We evaluated the correlation between PD population change and PD density in year t1, because negative plague-effects and the intensity of population decline may be greatest when PD densities are high in year t1 (a potential "density dependent" phenomenon discussed in a wide range of literature on disease ecology). We also evaluated the correlation between PD population change and flea abundance in year t1, because rates of plague transmission and, therefore, PD mortality are expected to increase with increasing flea densities. To assess flea abundance (PDfleas in the data file), we combed live-trapped PDs and counted the number of fleas on each PD. The PDs were live-trapped, individually marked with ear tags, and combed as thoroughly as possible for 30 seconds (s) to collect fleas. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. For each plot and year, we used the average value of flea counts (defined as flea abundance).

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data.cityofnewyork.us (2025). NYC Dog Licensing Dataset [Dataset]. https://catalog.data.gov/dataset/nyc-dog-licensing-dataset

NYC Dog Licensing Dataset

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 1, 2025
Dataset provided by
data.cityofnewyork.us
Area covered
New York
Description

Active Dog Licenses. All dog owners residing in NYC are required by law to license their dogs. The data is sourced from the DOHMH Dog Licensing System (https://a816-healthpsi.nyc.gov/DogLicense), where owners can apply for and renew dog licenses. Each record represents a unique dog license that was active during the year, but not necessarily a unique record per dog, since a license that is renewed during the year results in a separate record of an active license period. Each record stands as a unique license period for the dog over the course of the yearlong time frame.

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