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.

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.

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

This statistic shows the results of a survey conducted in the United States in 2017 on pets. Some ** 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.

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

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.

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.

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

A large set of images of cats and dogs.

Homepage: https://www.microsoft.com/en-us/download/details.aspx?id=54765

Source code: tfds.image_classification.CatsVsDogs

Versions:

4.0.0 (default): New split API (https://tensorflow.org/datasets/splits) Download size: 786.68 MiB

Source: https://www.tensorflow.org/datasets/catalog/cats_vs_dogs

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.

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.

Over the last century, dogs have been increasingly used to detect rare and elusive species or traces of them. The use of wildlife detection dogs (WDD) is particularly well established in North America, Europe and Oceania, and projects deploying them have increased worldwide. However, if they are to make a significant contribution to conservation and management, their strengths, abilities, and limitations should be fully identified. We reviewed the use of WDD with particular focus on the breeds used in different countries and for various targets, as well as their overall performance compared to other methods, by developing and analysing a database of 1220 publications, including 916 scientific ones, covering 2464 individual cases - most of them (1840) scientific. With the worldwide increase in the use of WDD, associated tasks have changed and become much more diverse. Since 1930, reports exist for 62 countries and 407 animal, 42 plant, 26 fungi and 6 bacteria species. Altogether, 108 FCI...

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...

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.

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.

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.

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Pet Sitting Market Size 2024-2028

The pet sitting market size is forecast to increase by USD 1.57 billion at a CAGR of 9.87% between 2023 and 2028. The market is experiencing significant growth due to several key factors. First, the rising trend of pet humanization has led to increased pet ownership and spending on pets. Pet types encompass a wide range, from small mammals and birds to freshwater fish, smart pet livestock, and exotic pets. As pet owners prioritize their pets' wellbeing, they seek professional pet sitting services for care visits during their absence. Service types include regular check-ins, feeding, administering medication, and playtime. Compliance with stringent regulations and certifications is essential for pet sitting businesses to ensure the highest level of care and safety for pets. These factors collectively contribute to the market's growth and ongoing demand for professional services.

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The pet sitting market is thriving as more pet owners seek reliable care for their furry companions. With the return-to-work trend, many retired people and students are turning to pet sitting services to accommodate their busy lifestyles. This growing demand has led to increased spending of consumers on quality pet care. In particular, the pet care cost associated with hiring a service provider can vary, but it ensures pets are well cared for while owners travel or work. Furthermore, societal shifts in pet acceptance have made pets a central part of many households, leading to a rise in the need for professional care. Ultimately, the pet sitting market reflects the evolving relationship between humans and their animal companions, providing peace of mind for pet owners.

Market Segmentation

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

Type

  Dogs
  Cats


Service

  Care visits
  Drop-in visits


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Type Insights

The dogs segment is estimated to witness significant growth during the forecast period. The market experiences significant growth due to the increasing popularity of dogs as pets and the resulting demand for pet care services. Dogs, the most commonly owned pets worldwide, are sought after for their ability to alleviate feelings of loneliness, reduce anxiety, stress, and depression, and promote physical activity and cardiovascular health. Additionally, dogs serve as valuable companions for children and the elderly, instilling responsibility, kindness, and empathy.

Additionally, pet owners require pet sitting services, including daycare visits and dog walking, when they are unable to be at home. Animal-borne disorders, such as abdominal pain and diarrhea, can necessitate the need for pet sitting services, further driving market growth. The rise of e-commerce platforms has also made it easier for pet owners to access a wide range of pet grooming products and services online, contributing to market expansion. Furthermore, legislation and regulations governing pet care and pet sitting services may vary by region, segmenting the market by pet type and location.

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The dogs segment was valued at USD 1.31 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

North America is estimated to contribute 41% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market, a significant sector within the pet care industry, experiences substantial growth, particularly in North America. With the US, Canada, and Mexico leading the way, this region hosts the largest number of pets and pet-sitting services worldwide. Factors such as the affordability of these services and the availability of experienced, full-time providers contribute significantly to the market's expansion in North America.

Additionally, increasing awareness among pet owners regarding various pet sitting options, including daycare visits and dog walking, further fuels market growth. Animal-borne disorders like abdominal pain and diarrhea necessitate the need for professional pet care services, leading to increased demand for pet sitting. Legislation mandating proper care for pets during their owners' absences also supports the market's growth.

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of

Our study was conducted in 2005 on 3 colonies of black-tailed prairie dogs on lands in Phillips County, Montana administered by the Bureau of Land Management and in 2009 on a colony of black-tailed prairie dogs on Buffalo Gap National Grassland, Pennington County, South Dakota managed by U.S. Forest Service. We live-trapped black-tailed prairie dogs in daylight with wire mesh traps and marked their ears with numbered tags for individual identification. We weighed each individual to the nearest gram and collected Universal Transverse Mercator coordinates of their trapping locations over time. In Montana, trapping began on 15 June 2005 and ended on 1 October 2005. In South Dakota, trapping was conducted during 7 June through 7 October 2009. In both states, trapping was split into two sessions, early summer (June-July) and late summer (August-early October). An individual prairie dog was classified as encountered for the early summer session if it was detected at any time during that session and reencountered if it was detected one or more times during the late summer session. For each site, we calculated the center of activity for individual prairie dog capture locations as the mean of X-coordinates and the mean of Y-coordinates. We located adult black-footed ferrets and adult American badgers via spotlighting on nearly consecutive nights each field season. Ferrets of known age and sex were individually identifiable via passive integrated transponders. In South Dakota, but not Montana, locations of adult American badgers were recorded; adult badgers of unknown sex were not individually identifiable. We transformed prairie dog body mass (from initial capture in each state) into a binomial, categorizing prairie dogs of ≥ 600 grams at first capture as large and those of < 600 grams as small. We calculated the Euclidean distance separating each prairie dog center of activity from the closest location for any adult female ferret, any adult male ferret, and any badger. Given more intense monitoring in South Dakota for prairie dogs and ferrets alike, we were able to define individual prairie dogs as spatially "near" ferrets or badgers if their center of activity was ≤ 20 meters from the nearest adult female, male ferret, or badger spotlight locations. Data collection in Montana was less intense and the prairie dogs and ferrets were more spatially dispersed; thus, we extended the definition of “near” to ≤ 50 meters for Montana. Prairie dogs with activity centers beyond these distance cutoffs were classified as "far" from the nearest adult female, male ferret, or badger. The first dataset (Prey Selection Data.csv) includes variables for state, prairie dog reencounter from early to late summer, prairie dog body size, distance to adult female ferret, distance to adult male ferret, and distance to badger. The second dataset (Juvenile Prairie Dog Mass South Dakota Data.csv) includes data on juvenile prairie dog body mass in South Dakota, and includes variables for date of capture, state, prairie dog age, and the juvenile prairie dog's body mass in grams at capture. Only the mass measurements for juveniles in South Dakota were analyzed in the Larger Work manuscript cited herein. Funding for this study was provided by the U.S. Geological Survey Fort Collins Science Center internally and through the collaborative USGS/U.S. Fish and Wildlife Service Species Survival Program.

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.

• One line of data represents the location of a canine waste bag dispenser, including what surface it is mounted on, who refills it, who made it, and when it was installed. • Data is collected by analysts located in each borough and collated by Parks’ Innovation & Performance Management team. • Data is updated as needed using an ArcGIS Online web application. • Records for dispensers that are no longer active have been removed • Not all records have an installation date. Records will only have an OMPPropID and SubProperty name if they fall within the bounds of a sub property.