This statistic presents the estimated number of pet dogs in Ireland in 2010, 2012, 2014, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023. The dog population in Ireland was measured at approximately 520,000 in 2023.

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 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 2022-2023

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.

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.

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">

Dogs and Cats Online Data 2023-2024

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.

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

Calculation of standard bodyweights for dogs, cats, rabbits, and guinea pigsStuart D. Becker, Dan G. O’Neill, Siân-Marie Frosini, Laura E. Stapleton, David M. Hughes, Dave C. BrodbeltPlos One (2025) doi: 10.1371/journal.pone.0318734This item is the data dictionary for data sets used to calculate standard bodyweights adjusted for juvenile growth in dogs, cats, rabbits, and guinea pigs. Please see linked paper for methodology.

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.

This dataset is a modelled dataset, describing an upper estimate of dogs per square kilometre across GB. The figures are aligned to the British national grid, with a population estimate provided for each 1km square. These data were generated as part of the delivery of commissioned research. The data contained within this dataset are modelled figures, based on upper 95th percentile national estimates for pet population, and available information on Veterinary activity across GB. The data are accurate as of 01/01/2015. The data provided are summarised to the 1km level. Further information on this research is available in a research publication by James Aegerter, David Fouracre & Graham C. Smith, discussing the structure and density of pet cat and dog populations across Great Britain. Attribution statement:

Data gathered under the Control of Dogs Act 1986 in order to enforce legislation. Current data being held in order to initiate legal proceedings. Historical data is held in order to generate requested reports and statistics. Historical data is also used for FOI requests, claims, queries etc.

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

Dogs (dirty Data)

## Overview

Dogs (dirty Data) is a dataset for object detection tasks - it contains Dogs annotations for 6,947 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset is a modelled dataset, describing the mean dog ownership characteristics per household at a postcode district level(e.g. YO41). This dataset gives the mean household owership rate for each district, and was generated as part of the delivery of commissioned research. The data contained within this dataset are modelled figures, based on national estimates for pet population, and available information on Veterinary activity across GB. The data are accurate as of 01/01/2015. The data provided are summarised to the postcode district level. Further information on this research is available in a research publication by James Aegerter, David Fouracre & Graham C. Smith, discussing the structure and density of pet cat and dog populations across Great Britain.

Brief

The data consist of 45.5K images of dogs and cats well distributed into 3 different sets. This is the first Dataset uploaded by me at Kaggle.

Download Api

> kaggle datasets download -d kunalgupta2616/dog-vs-cat-images-data

Content

Train Data - consist of 25000 images divided into equal half (12500 * 2) of cats and dogs images in separate directories.

Validation Data - consist of 8000 images divided into equal half (4000 * 2) of cats and dogs images in separate directories.

Test Data - consist of 12500 images of cats and dogs images.

sampleSubmission.csv - The submission file for the test data which can be found at link given under Acknowledgements.

Acknowledgements

This is an improvement to the dataset from the competition that can be found at this link. in terms of addition of more data and hierarchical distribution.

The estimated number of pet dogs in Denmark in increased selected years from 2010 to 2023. The dog population in Denmark was measured at approximately 643,000 in 2023.

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