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.

Pet Ownership Statistics: Pet ownership has been on the rise in recent years, with 67% of households in the United States owning a pet, according to the American Pet Products Association (APPA) in 2021. Americans are increasingly willing to invest in their furry companions, with total pet expenditures reaching USD 103.6 billion in 2020, a 6.7% increase from the previous year, as reported by the APPA Dogs remain the most popular pet choice, with 63.4 million households owning at least one dog, followed by cats, with 42.7 million households, according to the American Veterinary Medical Association (AVMA) in 2020. Pet owners prioritize the health and well-being of their animals, spending USD 32.46 billion on veterinary care and products in 2020, according to the APPA The COVID-19 pandemic has further fueled pet ownership, with an estimated 11.38 million U.S. households adopting a pet during the pandemic, according to a survey conducted by the APPA. Editor’s Choice Approximately 68% of households in New Zealand own at least one pet, indicating a significant presence of furry companions in Kiwi homes. In the United States With 90 million households in the United States owning at least one type of pet, the U.S. pet ownership market is substantial and diverse. People from the millennial age group boast the highest percentage of pet ownership, comprising 33% of current pet owners, followed by Gen X (25%) and baby boomers (24%). The global pet population surpassed 83 million in 2021, highlighting the widespread love and care for animals across the world. A staggering 90% of American households prefer dogs over any other type of pet, making them the most popular choice among pet owners. Pet Market Growth: The global pet market was valued at USD 261 billion in 2021 and is projected to reach USD 350 billion by 2027, signifying significant growth and opportunities in the pet industry. In the U.S. alone, pet owners spent USD 136.8 billion on their pets in 2022, marking a substantial increase from the previous year. Despite the importance of pet health, only 2% of pet owners in the U.S. have pet insurance, indicating potential for growth in this sector. While 42% of dog owners and 43% of cat owners acquire their pets from stores, a significant portion (38% of dog owners and 40% of cat owners) opt for animal shelters or rescues. Essential dog expenses average around USD 1,533 annually, highlighting the financial commitment associated with pet ownership. 70% of households in the U.S. own a pet, reflecting the widespread affection for animal companionship in American homes. There are approximately 844 million cats and dogs living as pets worldwide, underscoring the significant presence of these animals in households across the globe. A staggering 69 million households in the U.S. own dogs, making them one of the most beloved pets in the country. Europeans own at least 80.8 million cats, highlighting the popularity of feline companionship in the region. You May Also Like To Read Wine Industry Statistics Bicycle Industry Statistics Christmas Spending Statistics Coffee Industry Statistics Fashion Industry Statistics Tea Statistics Coca-Cola Statistics Home Improvement Industry Statistics Golf Industry Statistics Amazon Statistics

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.

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.

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.

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

Fatal dog attacks in the United States cause the deaths of about 30 to 50 people in the US each year, and the number of deaths from dog attacks appears to be increasing. Around 4.5 million Americans are bitten by dogs every year, resulting in the hospitalization of 6,000 to 13,000 people each year in the United States. Below are the lists of fatal dog attacks in the United States reported by the news media, published in scholarly papers, or mentioned through other sources. In the lists below, the breed is assigned by the sources.

COLUMN DESCRIPTION

• 'date': date of the incident
• 'year': year of the incident
• 'city': name of the city
• 'state': name of the state
• 'vic_name': name of the victim
• 'vic_age': age of the victim
• 'dog_type': type of the dog
• 'desc': description of the circumstance

FILE DESCRIPTION

Name of the file: dog_attacks.csv

The file contains the following columns: - 'date': date of the incident - 'year': year of the incident - 'city': name of the city - 'state': name of the state - 'vic_name': name of the victim - 'vic_age': age of the victim - 'dog_type': type of the dog - 'desc': description of the circumstance

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.

One of the greatest stressors for dogs living in animal shelters is social isolation. Many studies have demonstrated that human interaction reduces cortisol in shelter dogs with the possibility that longer periods of interaction may yield greater effects. These types of interventions are contingent upon removing the dog from the kennel and any such reductions in cortisol are often lost when the dog returns to the kennel. More recently, animal shelters are utilizing short-term fostering programs to provide relief from the perceived stresses of kennel life; however the effects of these programs are not well understood.

This study assessed the impacts of one- and two-night fostering programs on the urinary cortisol levels and health measures of dogs awaiting adoption. Five animal shelters, open and limited-admission facilities, from across the United States participated in the study. During the study, dogs’ urine was collected in the morning before, during, and after fostering stays for cortisol: creatinine analysis. Non-invasive health monitors were worn by the dogs, which collected heart rates and activity levels, in the shelter and in foster homes. In total, 207 dogs participated in the study, and 1076 cortisol values were used in our analysis.

This data set includes the cortisol:creatinine levels of dogs from five shelters before, during, and after either one- or two-day sleepovers. We also include the dog's length of stay, weight, and sex. For four of the shelters, most dogs were outfitted with activity monitors. For those dogs, we also include average, resting pulse, proportion of time spent resting, and longest bout of uninterrupted rest. In a separate file, we also include extra data about the dogs that resided at Best Friends Animal Society. These variables were included in our analysis: number of prior sleepovers the dog had been on, what area in Best Friends the dog was housed, days since the dog last went on a sleepover, and where the dog went on a sleepover (on the Best Friends campus, or off-campus in a hotel or AirBnb).

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 ...

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 ...

The number of pet cats adopted from shelters or rescues in the United States reached over 2.6 million in 2023.2.

Reasons for dog entry denials by country for the top ten countries of origin, United States, 2020.

This statistic shows the consumption of frankfurters and hot dogs in the United States in 2020. 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.

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.

IntroductionEntering an animal shelter is a stressful experience for dogs that can impair their welfare, adoptability, and shelter staff safety; thus, it is crucial to reduce the stress experienced during intake. This study investigated the current intake practices for dogs admitted in animal shelters in Texas, United States.MethodsTo gather data, an online survey was designed and distributed to shelter employees responsible for intake at animal shelters. The survey collected information about examination procedures, the type of information collected from owner-surrenders, as well as the housing environment for the dogs.ResultsSurvey participants (n = 64) were shelter staff from municipal (59%, 38/64) and private shelters (23%, 15/64) in 47 counties. Handling techniques reported to be used during intake exams varied depending on the dog’s behavior, with participants reporting higher restraint for aggressive dogs and lower restraint for calm dogs. If the dog was displaying fear, participants reported offering food and attention (89%, 47/53), using towel restraint (64%, 34/53) and conducting the exam on someone’s lap (49%, 26/53). In cases of aggression, it was commonly reported to use muzzles (81%, 42/52) and catch poles (77%, 40/52), and shorten the exam (71%, 37/52). After the exam, most reported placing dogs on the adoption floor (45%, 27/60) or placing them wherever space was available (20%, 12/60).DiscussionResults provide descriptive information on current intake procedures and routine handling techniques used in Texas shelters. Future research should explore shelter dog responses to routine handling techniques to support the development of evidence-based protocols during routine intake examinations and procedures.

Dogs vs. Cats Image Classification

The "Cats vs. Dogs" dataset is a comprehensive collection of high-quality images specifically curated for binary image classification tasks, focusing on distinguishing between images of cats and dogs. This dataset is designed to serve as an ideal benchmark for evaluating deep learning and data science models in the domain of image classification.

Dataset Composition: The dataset comprises three main folders, meticulously organized to facilitate model training, validation, and evaluation:

1. Training Set: This folder contains a total of 20,000 images, equally split between 10,000 images of cats and 10,000 images of dogs. These images have been handpicked to cover a wide range of poses, backgrounds, and lighting conditions, ensuring a diverse and representative training sample.

2. Test Set: The test set mirrors the training set in size, comprising 12,461 images, with 6,219 images of dogs and 6,242 images of cats. This set remains completely independent and is intended to assess the generalization ability of trained models on unseen data.

3. Validation Set: Specifically crafted for fine-tuning and hyperparameter tuning, the validation set consists of 5,000 images. It includes 2,500 images of cats and 2,500 images of dogs, providing an unbiased evaluation of model performance during the development phase.

Image Specifications: All images in the dataset adhere to consistent standards to eliminate any bias related to image quality or resolution. The images are stored in popular image formats (e.g., JPEG, PNG) and have been resized to a uniform resolution, enabling seamless input to most deep learning frameworks.

Use Case and Applications: The Cats vs. Dogs dataset is tailored for binary image classification tasks in the domain of computer vision and offers a multitude of practical applications. This dataset can be employed for:

• Training and benchmarking deep learning models for binary image classification.
• Evaluating the effectiveness of various data augmentation techniques.
• Research in transfer learning and fine-tuning pre-trained models.
• Advancing the state-of-the-art in image classification algorithms.
• Classroom education and academic research in machine learning and data science.

Disclaimer: While every effort has been made to ensure the quality and accuracy of the dataset, the creators cannot guarantee absolute perfection or absence of errors. Users are encouraged to verify the dataset's suitability for their specific purposes and report any potential issues to contribute to the dataset's improvement and enrichment.

License: The "Cats vs. Dogs" dataset is made available under an open-source license, fostering collaboration and knowledge sharing within the scientific community. Users are encouraged to adhere to the license terms, which will be detailed in the dataset documentation.

I hope this dataset will facilitate cutting-edge research and innovation in the fascinating field of deep learning and data science, propelling us toward a future where AI-powered computer vision systems bring transformative benefits to society.

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.

The graph displays the number of fatal dog attacks in the United States by breed from 2005 to 2019. The x-axis represents various dog breeds—including Pit Bull, Rottweiler, German Shepherd, Mixed-breed, American Bulldog, Mastiff/Bullmastiff, Husky, and a category labeled as Other 37 dog breeds—while the y-axis indicates the number of fatal attacks attributed to each breed. The data shows that Pit Bulls have the highest number of fatal attacks at 346, significantly surpassing other breeds. Rottweilers follow with 51 fatal attacks, and German Shepherds account for 22. Other breeds like Mixed-breed, Mastiff/Bullmastiff, and Husky have fatal attack numbers ranging from 14 to 27. The category of Other 37 dog breeds collectively accounts for 9 fatal attacks. This data highlights a substantial disparity in fatal attack numbers among different dog breeds, with Pit Bulls contributing to the majority of incidents.