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.

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.

The data provided includes: serial number, year, county and city code, county and city, total estimated number of pet dogs, total estimated number of pet cats, total estimated number of stray dogs, and remarks.

Dogs and Cats Online Data

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.

Dogs and Cats Online Data 2023-2024

This statistic shows the number of pet dogs registered in Sweden from 2013 to 2024. In 2024, the number of registered pet dogs in Sweden reached over ***********.

Various statistics of dogs bred in Vranov nad Topľou

Since the entry into force of the Landeshundegesetz NRW, the competent local regulatory authorities are obliged to report the number of dangerous dogs, dogs of certain breeds and large dogs (§§ 3, 10 and 11 LHundG NRW) reported to the district governments each year as of 31.12., divided according to the dog breeds listed in the law (only 8 selected breeds are to be reported for the large dogs according to § 11 and all other large dogs). The number of bite incidents and other incidents recorded in the reporting year must also be reported, again broken down by race. In addition, it is differentiated whether the bite incidents have led to injuries to humans or animals. In addition, the number of official findings on the dangerousness of dogs in individual cases (Section 3(3) of the LHundG NRW) as well as the number of criminal proceedings and OWi proceedings initiated in each case must be reported on a racial basis. The district governments summarise the reports received from the municipal regulatory authorities in a table and send this table to the Ministry in the first quarter of the following year. This checks the figures received for plausibility, summarises the figures for the respective year for the whole country, calculates from the reported absolute figures relative frequencies (e.g. number of bite incidents of a dog breed in relation to the total population of this breed) and creates graphic representations and comparison tables to the statistics of previous years from this data. The file below contains the complete individual annual statistics from 2013 onwards.

Thematic Household Survey - Keeping of Dogs and Cats [Report]

Dataset Summary

A dataset from kaggle with duplicate data removed.

  Data Fields

The data instances have the following fields:

image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"]… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/Cat_and_Dog.

With over 470 million dogs kept as pets worldwide, dogs came out on top as the leading type of pet in 2018. Within the same year, there were roughly 370 million pet cats in the world.

Pets in the European Union

While dogs were globally speaking the most common type of pet, cats were more common in the European Union in 2018. Roughly 75 million people within this region had a pet cat in 2018, compared to the 65 million pet dogs. That year, Germany had about nine and a half million pet dogs, making it the country with the highest number within the European Union. Other top dog-loving countries included the United Kingdom, Poland, and France.

Other pets in Germany

Besides cats and dogs, Germans had many other household pets in 2018. About five and a half million small pets, such as hamsters and rabbits, were kept by Germans that year. Additionally, about two million households in Germany owned an aquarium and roughly one and a half million households owned a garden pond.

The Dog Health Vitals Dataset is a collection of recordings and vital statistics related to the health of dogs. It includes data captured during various recording sessions, providing insights into the physiological characteristics of the dogs.

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

Dogs and cats have become the most important and successful pets through long-term domestication. People keep them for various reasons, such as their functional roles or for physical or psychological support. However, why humans are so attached to dogs and cats remains unclear. A comprehensive understanding of the current state of human preferences for dogs and cats and the potential influential factors behind it is required. Here, we investigate this question using two independent online datasets and anonymous questionnaires in China. We find that current human preferences for dog and cat videos are relatively higher than for most other interests, with video plays ranking among the top three out of fifteen interests. We also find genetic variations, gender, age, and economic development levels notably influence human preferences for dogs and cats. Specifically, dog and cat ownership are significantly associated with parents’ pet ownership of dogs and cats (Spearman’s rank correlation c..., , , # Human preferences for dogs and cats in China: the current situation and influencing factors of watching online videos and pet ownership

https://doi.org/10.5061/dryad.qfttdz0rr

This dataset contains three CSV data files, each corresponding to one of the three parts described in the study.

Description of the data and file structure

**“1, bilibili.csv†**: contains data extracted from the Bilibili website. Each row in the dataset represents yearly data for each popular channel. Missing data are indicated with NA.

• ID:Â The serial number for each video, ranging from 1 to 167368.
• year: The year the video was published on the website, from 2009 to 2021.
• Videourl:Â The URL of the video.
• plays:Â The total number of plays for the video.
• likes: The total number of likes for the video.
• sort: The ranking of the video in terms of play count among all popular videos in its channel for that year.
• channelID: The I...

The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. There are 20,580 images, out of which 12,000 are used for training and 8580 for testing. Class labels and bounding box annotations are provided for all the 12,000 images.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('stanford_dogs', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/stanford_dogs-0.2.0.png" alt="Visualization" width="500px">

Results of the street dogs survey done by BBMP.

Data on annual population change for prairie dogs in Montana and Utah, USA, 2000-2005. Prairie dog species 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. Data were collected on paired plots. Each pair included a plot treated annually with deltamethrin dust for flea control and plague mitigation and a plot left untreated as baselines. Paired plots had similar ecological features on the same (split) or nearby (separate) colonies. One plot within each pair was randomly selected for deltamethrin dust treatment. We used summertime visual counts as an index to PD population size.We conducted visual counts annually during June-August, after young PDs were aboveground. We used binoculars and spotting scopes to systematically and repeatedly scan the plots (each plot was 3-9 hectares in area), beginning just after sunrise and continuing until warming temperatures caused a decline in counts. We repeated the procedure for three days, using for analysis the highest count obtained. We counted from the same locations each year, simultaneously counting treated and non-treated plots of each pair. Visual counts were transformed into values of finite population change by dividing the PD count at the end of an annual interval by the count at the beginning of the interval. For example, if year is 2001, then population change was for the interval 2000 to 2001. Primary funding was provided by the U.S. Fish and Wildlife Service, U.S. Geological Survey, and Bureau of Land Management, supplemented by the Utah Division of Wildlife Resources and the Utah Department of Natural Resources Endangered Species Mitigation Fund. In-kind support was provided by the Bryce Canyon National Park, Dixie National Forest and BLM offices in Utah (Vernal, Cedar City, Richfield, and Torrey), Colorado (Meeker), and Montana (Malta). R. Reading and B. Miller of the Denver Zoological Foundation provided logistical support for parts of the study.

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.

Dog runs are large, fenced-in areas for dogs to exercise unleashed during park hours. Each record in this dataset is an individual dog run. Planimetrics have ensured good GIS quality of the data. User guide: https://drive.google.com/open?id=1_LB-hb9eJ9Bph7K2Yf06_KOtra8qKppbPnfSyH1lRUg Data Dictionary: https://drive.google.com/open?id=1a3vdtIHUTUl2wokZ1r3fot8wm-lrnKGXYL-6xU5Fj2A