An estimated ** million households in the United States owned at least one dog according to a 2024/25 pet owners survey, making them the most widely owned type of pet across the U.S. at this time. Cats and freshwater fish ranked in second and third places, with around ** million and ** million households owning such pets, respectively. Freshwater vs. salt water fish Freshwater fish spend most or all their lives in fresh water. Fresh water’s main difference to salt water is the level of salinity. Freshwater fish have a range of physiological adaptations to enable them to live in such conditions. As the statistic makes clear, Americans keep a large number of freshwater aquatic species at home as pets. American pet owners In 2023, around ** percent of all households in the United States owned a pet. This is a decrease from 2020, but still around a ** percent increase from 1988. It is no surprise that as more and more households own pets, pet industry expenditure has also witnessed steady growth. Expenditure reached over *** billion U.S. dollars in 2022, almost a sixfold increase from 1998. The majority of pet product sales are still made in brick-and-mortar stores, despite the rise and evolution of e-commerce in the United States.

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.

How many dogs are there in the US? According to a pet owners survey, there were approximately 89.7 million dogs owned in the United States in 2017. This is an increase of over 20 million since the beginning of the survey period in 2000, when around 68 million dogs were owned in the United States.

Why has this figure increased?

The resident population of the United States has also increased significantly within this time period. It is, therefore, no surprise that the number of dogs owned in U.S. households has also increased, especially when considering that the household penetration rate for dog-ownership reached almost 50 percent in recent years.

The dog food market in the United States

The large number of dogs owned by Americans creates a lucrative market for pet food brands and retailers. Pedigree, the leading dry dog food name brand in the U.S., had sales amounting to around 550 million U.S. dollars in 2017. Pedigree also led the pack in the wet dog food category , with sales of around 240 million U.S. dollars in the same year.

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

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.

Data on body condition and reproduction of Utah prairie dogs at 5 colonies on the Awapa Plateau, Utah, USA, June-August 2013-2016. Utah prairie dogs were live-trapped and sampled on 5 colonies. We recorded the age (juvenile/adult) and mass (nearest 5 grams) of each prairie dog and marked its ears and body with metal tags and passive integrated transponders, respectively, for permanent identification. We measured each prairie dog's right hind foot length (nearest millimeter). We indexed each adult prairie dog's body condition as the ratio between its mass and hind-foot length. Prairie dogs were allowed to recover from anesthesia and released at their trapping locations. We indexed prairie dog reproduction, by colony and year, as the ratio of the number of juveniles per adult (juvenile:adult ratios). Funding and logistical support were provided by the U. S. Geological Survey (USGS), Western Association of Fish and Wildlife Agencies, and Colorado State University. Fieldwork was completed by the USGS Fort Collins Science Center, and lab work and flea identifications were completed by the USGS National Wildlife Health Center.

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.

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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...

description: This model is based on how dogs utilize wildlands near human habituation. These predators can have detrimental effects on wildlife populations (Alterio et al. 1998). We based our model on the data collected by Odell and Knight (2001) that investigated habitat utilization of these predators with regard to distance from housing and on the probability for a homeowner to possess a dog. We buffered the both the populated areas and the campground distance layers in ARC/INFO using probability functions [P = 0.548 - 1.4589 * Distance (km)]. Any cell with distance less than 0.36km received a probability based on the function (0.556 to 0.001572) and all distances greater than or equal to 0.36km from populated areas or campgrounds were assigned a probability of 0. We combined the two models into the dog model by selecting the maximum value at each pixel location from the 2 models using the MAX command in ARC/INFO. The resulting dataset was then resampled to 180m using the bilinear interpolation option.; abstract: This model is based on how dogs utilize wildlands near human habituation. These predators can have detrimental effects on wildlife populations (Alterio et al. 1998). We based our model on the data collected by Odell and Knight (2001) that investigated habitat utilization of these predators with regard to distance from housing and on the probability for a homeowner to possess a dog. We buffered the both the populated areas and the campground distance layers in ARC/INFO using probability functions [P = 0.548 - 1.4589 * Distance (km)]. Any cell with distance less than 0.36km received a probability based on the function (0.556 to 0.001572) and all distances greater than or equal to 0.36km from populated areas or campgrounds were assigned a probability of 0. We combined the two models into the dog model by selecting the maximum value at each pixel location from the 2 models using the MAX command in ARC/INFO. The resulting dataset was then resampled to 180m using the bilinear interpolation option.

Dog Names Frequencies In 2022

A look at the most popular dog names updated to 2022

By City of Anchorage [source]

About this dataset

This dataset contains a list of dog names and the number of dogs with that name that were licensed in March 2022.

Dog names are often reflective of popular culture and trends, and so this dataset provides a snapshot of what was popular in March 2022. It also allows us to see how popularity of certain names has changed over time

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How to use the dataset

This dataset contains a list of dog names and the number of dogs with that name that were licensed in March 2022. This can be used to help choose a name for a new dog, or to see how popular certain names are

Research Ideas

• This dataset could be used to study the most popular dog names in America.
• This dataset could be used to study how the popularity of dog names has changed over time.
• This dataset could be used to study the most popular letters in dog names

Acknowledgements

If you use this dataset in your research, please credit the original authors.

Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: dog-names-from-march-2022-1.csv | Column name | Description | |:--------------|:------------------------------| | DogName | The name of the dog. (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit City of Anchorage.

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.

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.

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

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 ...

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.

Survey of Assistance Dogs International (ADI) and International Guide Dog Federation (IGDF) accredited facilities, candidate ADI accredited facilities, and non-accredited facilities in the U.S. and Canada. Responding facilities provided information on roles of dogs and numbers of dogs placed in homes of individuals with disabilities in 2013 and 2014.

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 belo ...

This statistic shows the results of a survey conducted in the United States in 2017 on pets. Some 51 percent of the respondents stated that they prefer dogs.The Survey Data Table for the Statista survey pets in the U.S. 2017 contains the complete tables for the survey including various column headings.

Graph and download economic data for Producer Price Index by Industry: Dog and Cat Food Manufacturing: Dog Food (PCU3111113111111) from Dec 1985 to May 2025 about pets, food, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

IntroductionAlthough multiple studies have explored behavioral changes in pets during the strict lockdown of the COVID-19 pandemic between May and July 2020, this longitudinal study uniquely investigated the phases beyond strict lockdown. The primary objective of this research was to evaluate the pandemic’s impact on pet behavior.MethodsTo achieve this goal, we conducted an online survey, completed by pet owners residing in the United States between June 2020 (including retrospective data for February and April 2020) and December 2021. The study encompassed four distinct pandemic phases: Pre-pandemic (data collected retrospectively), Strict lockdown, Prolonged lockdown, and Re-opening.Results and discussionThe data collected from surveys completed by 3,278 pet owners across one to six time points revealed declining trends in all investigated behavior problems of both dogs and cats. Concurrently, human-animal interaction activities also showed variations across different COVID-19 phases. The association between human-animal interactions and the occurrence of behavior problems underscored the importance of not only exercise quantity but also adherence to consistent schedules, particularly for dogs, in mitigating behavior problems. Interestingly, among cats, sleeping outside the bedroom was associated with a reduced occurrence of aggression, anxiety, fear, and physiological behavior changes. However, sleep location displayed limited or no association with behavior problems in dogs. In summary, this study highlights the importance of tailoring interventions to the unique needs of each species through human-animal interactions to mitigate the occurrence of behavioral problems and enhance human-animal relationships.