Hungary had the highest share of dog-owning households in the European Union, with almost half of the population owning at least one dog in 2023. Other countries, like Poland and Romania, had a little more than a third of households with at least one pet dog. Pet ownership in Europe Germany had the highest pet dog population in Europe, with more than ten million dogs in 2022. In comparison, Romania had approximately 4.2 million dogs in that same year. However, pet dog ownership was more prevalent among Romanian households, where 43 percent of households owned at least one dog in 2022, compared to only 21 percent of German households who were dog owners in that same year. In the last decade, both the number of pet cats and pet dogs increased significantly in Europe. Pet food trade Due to a growing pet population in the European continent, the pet industry flourished, and pet food trade is one indicator of that growth. The import value of cat and dog food more than tripled in the last decade, increasing from 480 million U.S. dollars in 2011 to over 1.5 billion U.S. dollars in 2021. European exports of pet food followed a similar trend, reflecting a general expansion in pet food industry and trade in Europe.

In 2023, Germany had the highest pet dog population in the European Union, with more than 10 million dogs. Spain ranked second with a dog population of 9.5 million. Other countries, like Greece and Denmark, had comparatively smaller dog populations of approximately 652,000 and 641,000, respectively. Pet dogs in Europe The number of pet dogs in Europe has witnessed a notable increase since 2010, increasing from around 73 million in 2010 to more than 106 million in 2023. This positive trend was accompanied by a similar growth in the number of pet-owning households in Europe, which has increased by nearly double in the period between 2010 and 2023. Pet food industry in Europe Despite a marked increase in the dog population along with the number of pet-owning households in Europe, this has not been translated in a similarly significant increase in pet food sales in the continent. The annual sales volume of pet food products remained relatively stable in the last decade, reaching about 9.9 million tons of pet food products in 2023. The largest pet food manufacturer in Europe was the Belgian company United Petfood Producers, with an annual revenue stream of approximately 1.5 billion U.S. dollars in 2024.

Idaho had the highest dog ownership rate in the United States (U.S.), with ** percent of households owning a dog in 2025. In Tennessee, around ** percent of households were dog owners in that year. Dog food industry in the U.S. The sales value of dog food in the U.S. amounts to a total of approximately **** billion U.S. dollars annually, excluding treats. Among the various dog food categories, dry dog food makes up the largest share of sales, with just under ***** billion U.S. dollars. The leading dog biscuit, treat, and beverage vendor in the U.S. in terms of sales is Big Heart Pet Brands, which generates sales of over * billion U.S. dollars annually. The sales of Big Heart Pet Brands are more than twice as much as those of its biggest competitor, Nestlé Purina PetCare. The leading frozen and refrigerated dog food vendors in the U.S. is Freshpet. The company dominates the market by a considerable margin. Dog ownership in the U.S. Nationwide, approximately ** million U.S. households own at least one dog. Dogs are the most widely owned type of pet among American households. Within the last 12 years, the number of dog-owning households grew by more than ** percent. In general, there has been an increase in the household penetration rate of pet ownership in the U.S. during the last 35 years. In 2023, about ********** of households owned at least one pet. Since the state of Idaho has the highest percentage share of dog owners among U.S. states, it is unsurprising that its state capital, the city of Boise, has the largest number of dog parks per 100,000 residents in the country. There are *** off-leash dog parks per 100,000 residents in Boise, Idaho.

In 2018, Brazil was the country with the highest amount of dogs from the presented Latin American countries, with **** million dogs. Mexico followed, with **** million. In 2021, the pet food market in Latin America is expected to reach a value of nearly ** billion U.S. dollars.

This dataset aims to collect multiple images from dogs worldwide for identification and classification purposes. Though at this stage, it is mostly US and Australia. I aim to continue to improve it over time. Please message me if you want your dog to be included in the dataset.

It 300k+ dog images, across 200k+ identities and 240+ breeds

Each dog is tagged with the following attributes:

• Breed
• Gender
• Age in months (where available)
• Location

Most dogs in the collection have more than one image. There are 126,550 identities across over 313,688 images.

The dataset is a work in progress. I aim to include dogs across more countries and breeds in future releases.

This statistic shows the share of pet owners in the population of selected countries all over the world as of 2016. During the survey, ** percent of respondents in Argentina stated they own a dog, while ** percent said they own a cat.

Who doesn't love dogs? 🐕 Those wonderful creatures make our life so much better! So if you love dogs as much as I do, you'd be probably interested in this dataset.

It includes the name of the breed, country of origin, longevity, height, color of fur and eyes, their character traits and typical health problems for each breed.

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-classified and 20 non-FCI-classified breeds have worked as WDD. While certain breeds have been preferred on different continents and for specific tasks and targets, they were not generally better suited for detection tasks than others. Overall, WDD usually worked more effectively than other monitoring methods. For each species group, regardless of breed, detection dogs were better than other methods in 88.71% of all cases and only worse in 0.98%. It was only for arthropods that Pinshers and Schnauzers performed worse than other breeds. For mono- and dicotyledons, detection dogs did less often outperform other methods. Although every breed can be trained as a WDD, choosing the most suitable dog for the task and target may speed up training and increase the chance of success. Albeit selection of the most appropriate WDD is important, excellent training, knowledge about the target density and suitability, and a proper study design all appeared to have the highest impact on performance. Moreover, an appropriate area, habitat and weather are crucial for detection dog work. When these factors are taken into consideration, WDD can be an outstanding monitoring method.

Methods We systematically searched for any publication using the following search terms in Google Scholar and ISI Web of Knowledge: wildlife detect* dog, species detect* dog, scat detect* dog, [species] + detect* dog, [author] + detect* dog, [country] + detect* dog, conservation (detect*) dog, predator (detect*) dog, protected species (detect*) dog, den detect* dog, roost detect* dog, plant detect* dog, canine detection, and tracking dog. We traced any potentially relevant cited publication and only included those in our review that we could check ourselves. We also collected publications if we got to know them otherwise and reviewed existing literature lists and compilations (Grimm-Seyfarth et al. 2021, Appendix S1.1). We focused mainly on scientific literature, including scientific papers, dissertations, and project reports. However, wildlife detection dogs were frequently used for conservation or management purposes without a scientific research project behind them. For a more comprehensive overview of their deployment and performance, we included popular science or newspaper articles when no scientific publication about the project was found. In addition, we used social media platforms to obtain many articles from different countries (Grimm-Seyfarth et al. 2021, Appendix S1.1). In order to avoid multiple citations of the same study for which publications from different sources have been published, we compared each new entry with the entries in the database and preferably included scientific publications, followed by books, popular science and newspaper articles.

We compiled the data in a relational database (Microsoft Access 2013) consisting of five basic tables: literature, dog breeds, target species, target types and countries. We classified dog breeds into the ten FCI classification groups and breeds not listed as “not classified”. We assigned mixed breeds to a main or first-mentioned breed or to the category “Mix” when they could not be assigned to a specific breed. We classified target species according to their Latin and English names, genus, family, order, class, phylum and kingdom, adding subspecies names if provided. If the dog detected species groups without further specification (e.g., bat or bird carcasses, rodents, weed), we retained this group only. Taxonomic changes due to splitting of taxa into several species were only made if the allocation to the new species was obvious from the geographic information provided or had already been done by other authors. We divided potential target types into: living or dead individuals; nests, dens, clutches, coveys, roosts; scat, urine, saliva, glandular secretion; spores, eggs; larvae; hair, feathers, pellets, shed skin; and different combinations thereof. Lastly, we classified countries according to the (sub-) continent into North, Central and South America, Europe, Asia, Africa, and Oceania, assigning Russia and Turkey to “Eurasia”. Furthermore, we assigned Australia, New Zealand, and all oceanic islands (including subantarctic islands) to “Oceania” and made no differentiation to Zealandia.

In a main table, we then assigned each breed-target species-country association per reference as a single “case”. We marked pure-breed dogs and added a second breed for mixed breeds (if provided), as well as the number of dogs per breed and reference (if not mentioned directly, “1” for mentioning “dog” and “2” for mentioning “dogs”). We also added specifications to the country (e.g. Islands). If available, we extracted results of the wildlife detection dog performance compared to other monitoring methods. We classified the performance into four categories: dogs were (i) better; (ii) equal; or (iii) worse than other methods tested; or (iv) mixed results. The factor in comparison was study-specific and could include speed per area or transect, area size, sample size, quality, detectability, specificity, sensitivity, accuracy, or precision. We relied on those conservative measures since different monitoring methods can hardly be compared otherwise. The category “mixed results” was given when the dogs were better at some factors but worse at others, or when the performance depended upon season, year, site, or dog. Since we designed the database as a relational database, IDs among the five basic tables and the main table were linked together for quick searches and queries.

About this dataset

Do you want to help a dog in need? This dataset contains information on over 3,000 adoptable dogs across the United States. By understanding patterns of dog movement and relocation, we can help these animals find their forever homes.

The data includes information on the origin of each dog, as well as the state they are currently listed for adoption in. This can be used to understand patterns of dog movement across the country, and how different states rely on imported dogs for adoption.

There are several things to keep in mind when using this dataset: - The data represents a single day of data. It is possible that patterns have changed since then. - The data only includes adoptable dogs that were listed on PetFinder.com

How to use the dataset

This dataset of adoptable dogs in the US was collected to better understand how animals are relocated from state to state and imported from outside the US. The data includes information on over 3,000 dogs that were described as having originated in places different from where they were listed for adoption. The findings were published in a visual essay on The Pudding entitled Finding Forever Homes published in October 2019.

This dataset is a snapshot of data collected on a single day and does not include all adoptable dogs in the US. However, it provides valuable insights into the whereabouts of these animals and the journey they take to find their forever homes

So, how should you use it?

This dataset is a great resource for understanding how adoptable dogs are relocated from state to state and imported into the US. The data provides information on the origin of each dog, as well as the state they are currently listed for adoption in. This can be used to understand patterns of dog movement across the country, and how different states rely on imported dogs for adoption.

Research Ideas

• Finding out how many of each type and breed of dog are brought into shelters across the USA in a given year.
• Seeing which states have the most imports of dogs and what breeds/types those are.
• Determining if there are any trends in the types/breeds of dogs being brought into shelters (e.g. more pit bulls than golden retrievers)

Columns

File: dogTravel.csv | Column name | Description | |:------------------|:---------------------------------------------------------------------| | contact_city | The city where the animal is located. (String) | | contact_city | The city where the animal is located. (String) | | contact_state | The state where the animal is located. (String) | | contact_state | The state where the animal is located. (String) | | description | A description of the animal. (String) | | description | A description of the animal. (String) | | found | The date the animal was found. (Date) | | found | The date the animal was found. (Date) | | manual | A manual override for the animal's location. (String) | | manual | A manual override for the animal's location. (String) | | remove | The date the animal was removed from the dataset. (Date) | | remove | The date the animal was removed from the dataset. (Date) | | still_there | Whether or not the animal is still available for adoption. (Boolean) | | still_there | Whether or not the animal is still available for adoption. (Boolean) |

File: allDogDescriptions.csv | Column name | Description | |:--------------------|:-------------------------------------------------------| | contact_city | The city where the animal is located. (String) | | contact_city | The city where the animal is located. (String) | | contact_state | The state where the animal is located. (String) | | contact_state | The state where the animal is located. (String) | | description | A description of the animal. (String) | | description | A description of the animal. (String) | | url | The URL of the animal's profile on PetFinder. (String) | | url | The URL of the animal's profile on PetFinder. (String) | | type.x | The type of animal. (String) | | type.x | The type of animal. (String) | | species | The species of the animal. (S...

Global Export of Dog or Cat Food Share by Country (US Dollars), 2023 Discover more data with ReportLinker!

European Export of Dog or Cat Food by Country, 2023 Discover more data with ReportLinker!

European Sold Production of Dog or Cat Food by Country, 2023 Discover more data with ReportLinker!

European Dog and Cat Foods Market Size Volume Per Capita by Country, 2023 Discover more data with ReportLinker!

In 2018, Brazil was the country with the highest amount of dogs and cats from the presented Latin American countries, with **** million cats. Mexico followed, with **** million. In 2021, the pet food market in Latin America is expected to reach a value of nearly ** billion U.S. dollars.

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.

Modern dog and cat owners increasingly use internet resources to obtain information on pet health issues. While access to online information can improve owners’ knowledge of patient care and inform conversations with their veterinarian during consultations, there is also a risk that owners will misinterpret online information or gain a false impression of current standards in veterinary medicine. This in turn can cause problems or tensions, for example if the owner delays consulting their veterinarian about necessary treatment, or questions the veterinarian’s medical advice. Based on an online questionnaire aimed at dog and cat owners in Austria, Denmark and the United Kingdom (N = 2117) we investigated the use of internet resources to find veterinary medical information, the type of internet resources that were used, and whether owner beliefs explain how often they used the internet to find medical information about their pet. Approximately one in three owners reported that they never used internet resources prior to (31.7%) or after (37.0%) a consultation with their veterinarian. However, when owners do make use of the internet, our results show that they were more likely to use it before than after the consultation. The most common internet resources used by owners were practice websites (35.0%), veterinary association websites (24.0%), or ‘other’ websites providing veterinary information (55.2%). Owners who believe that the use of internet resources enables them to have a more informed discussion with their veterinarians more often use internet resources prior to a consultation, whereas owners who believed that internet resources help them to make the right decision for their animal more often use internet resources after a consultation. The results suggest that veterinarians should actively ask pet owners if they use internet resources, and what resources they use, in order to facilitate open discussion about information obtained from the internet. Given that more than a third of pet owners use practice websites, the findings also suggest that veterinarians should actively curate their own websites where they can post information that they consider accurate and trustworthy.

BackgroundRabies is a neglected disease, primarily due to poor detection stemming from limited surveillance and diagnostic capabilities in most countries. As a result, there is limited ability to monitor and evaluate country, regional, and global progress towards the WHO goal of eliminating human rabies deaths by 2030. There is a need for a low-cost, readily reproducible method of estimating rabies burden and elimination capacity in endemic countries.MethodsPublicly available economic, environmental, political, social, public health, and One Health indicators were evaluated to identify variables with strong correlation to country-level rabies burden estimates. A novel index was developed to estimate infrastructural rabies elimination capacity and annual case-burden for dog-mediated rabies virus variant (DMRVV) endemic countries.FindingsFive country-level indicators with superior explanatory value represent the novel “STOP-R index:” (1) literacy rate, (2) infant mortality rate, (3) electricity access, (4) political stability, and (5) presence/severity of natural hazards. Based on the STOP-R index, 40,111 (95% CI 25,854–74,344) global human rabies deaths are estimated to occur in 2022 among DMRVV-endemic countries and are projected to decrease to 32,349 (95% CI 21,110–57,019) in 2030.InterpretationThe STOP-R index offers a unique means of addressing the data gap and monitoring progress towards eliminating dog-mediated human rabies deaths. Results presented here suggest that factors external to rabies programs influence the successes of rabies elimination, and it is now possible to identify countries exceeding or lagging in expected rabies control and elimination progress based on country infrastructure.

Dog Training Service Market Outlook

The global dog training service market size is projected to grow from USD 10.5 billion in 2023 to USD 16.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 5.2% during the forecast period. The increasing awareness of the benefits of dog training, rising disposable incomes, and growing pet adoption rates are significant factors driving the market growth. The market is also influenced by the burgeoning trend of humanization of pets, where pet owners treat their pets as family members and are willing to invest in their well-being.

One of the primary growth factors in the dog training service market is the escalating trend of pet adoption. With more individuals and families adopting dogs, the demand for professional training services has surged. Adopting a dog comes with the responsibility of ensuring the animal is well-behaved and properly trained, which drives the need for various training programs. This trend is particularly pronounced in urban areas where space constraints and busy lifestyles necessitate well-trained pets to coexist harmoniously with their owners. The adoption rates are significantly influenced by social media and the portrayal of pets as valuable companions, further fueling market growth.

Another significant growth factor is the increasing disposable incomes across various regions, allowing pet owners to spend more on pet services, including training. As income levels rise, people are more inclined to seek professional help for their petsÂ’ behavioral and training needs. This is particularly evident in developed countries where the concept of pet insurance is also gaining traction, making it financially easier for pet owners to afford comprehensive training services. The willingness to spend on pet training is also driven by the desire to ensure the safety and well-being of both pets and their owners.

The humanization of pets is another critical driver of the dog training service market. Pet owners increasingly view their dogs as family members and are more willing to invest in services that improve their pets' quality of life. This trend has led to a higher demand for specialized training programs that cater to both basic obedience and advanced skills, such as agility and service dog training. The growing emphasis on pet mental health and well-being has also contributed to the demand for professional training services, as well-trained pets are less likely to exhibit behavioral problems.

Regionally, North America holds the largest market share for dog training services, driven by high pet adoption rates and the presence of numerous professional training service providers. Europe follows closely, with countries like the UK, Germany, and France showing significant demand for these services. The Asia Pacific region is expected to witness the fastest growth during the forecast period, propelled by increasing disposable incomes and changing attitudes towards pet ownership in countries like China and India. Latin America and the Middle East & Africa are also emerging markets, with growing awareness and adoption of pet training services.

The role of Dog Training Equipment in the overall training process is becoming increasingly significant. As pet owners seek to enhance the effectiveness of training sessions, the demand for specialized equipment such as clickers, leashes, harnesses, and agility tools has surged. These tools not only aid in teaching basic commands but also facilitate advanced training techniques, making the process more engaging for both the dog and the trainer. The availability of a wide range of equipment tailored to different training needs allows pet owners to customize their training approach, ensuring better outcomes. As the market for dog training services grows, the parallel rise in the demand for training equipment highlights the comprehensive approach pet owners are adopting towards their pets' education and well-being.

Training Type Analysis

The dog training service market is segmented by training type into obedience training, behavioral training, agility training, service dog training, and others. Obedience training is the largest segment, primarily due to its fundamental importance for pet owners. This type of training ensures that dogs can follow basic commands and behave appropriately in various situations, making them better companions. The demand for obedience training is particularly high among first-time pet owners who seek to e

Dog Seat Belt Market Outlook

According to our latest research, the global Dog Seat Belt market size is valued at USD 625 million in 2024, reflecting robust demand for pet safety products worldwide. The market is expected to grow at a CAGR of 6.8% during the forecast period, reaching USD 1,144 million by 2033. This growth is primarily driven by rising pet ownership, heightened awareness regarding pet safety during travel, and stricter regulations on pet transportation in vehicles. As consumers increasingly prioritize the well-being of their pets, the demand for reliable and innovative dog seat belt solutions continues to surge across both developed and emerging markets.

One of the most significant growth factors for the dog seat belt market is the global increase in pet adoption rates, particularly among urban populations. As more households welcome dogs as part of their families, the emphasis on pet safety during travel has intensified. Pet owners are now more informed about the risks associated with unrestrained pets in vehicles, including potential injuries during sudden stops or accidents. This awareness has translated into a steady rise in the adoption of dog seat belts as an essential travel accessory. In addition, the proliferation of pet-friendly travel policies and the growing popularity of road trips with pets have further catalyzed the demand for these safety products. The trend is especially pronounced in North America and Europe, where pet humanization and premiumization are at their peak.

Another crucial driver is the evolving regulatory landscape, with various countries and states enacting laws mandating the use of restraints for pets in vehicles. These regulations are designed to minimize distractions to drivers and enhance road safety, indirectly stimulating the dog seat belt market. For instance, several U.S. states and European countries have introduced fines for drivers traveling with unrestrained pets, prompting a surge in product purchases. Moreover, insurance companies are increasingly recognizing the importance of pet restraints, sometimes offering incentives for pet owners who comply with safety standards. This regulatory push, combined with advocacy from animal welfare organizations, is expected to sustain market growth over the next decade.

Innovations in product design and material technology also play a pivotal role in market expansion. Manufacturers are focusing on developing dog seat belts that offer superior comfort, durability, and ease of use, utilizing advanced materials such as reinforced nylon and padded harnesses. The integration of adjustable features, quick-release mechanisms, and compatibility with various vehicle models has further enhanced product appeal. Additionally, the rise of e-commerce and digital marketing has made it easier for consumers to access a wide range of dog seat belt products, compare features, and make informed purchasing decisions. This shift toward online retail channels is expected to accelerate market penetration, particularly in regions with growing internet connectivity and smartphone adoption.

From a regional perspective, North America currently dominates the dog seat belt market, accounting for the largest share in both revenue and volume. The region’s leadership is attributed to high pet ownership rates, stringent safety regulations, and a well-established retail infrastructure. Europe follows closely, with increasing legislative support and a strong culture of pet care. Meanwhile, the Asia Pacific region is emerging as a lucrative market, driven by rapid urbanization, rising disposable incomes, and a growing affinity for companion animals. Countries such as China, Japan, and Australia are witnessing significant growth in pet-related expenditures, creating substantial opportunities for market players. Latin America and the Middle East & Africa, while currently smaller in market size, are expected to register healthy growth rates as pet ownership becomes more widespread and consumer awareness improves.

Product Type Analysis

The dog seat belt market is segmented by product type into adjustable dog seat belts, harness seat belts, zipline dog seat belts, tether seat belts, and others. Among these, adjustable dog seat belts have gained significant traction due to their versatility and ability to accommodate dogs of various sizes and breeds. These products typically feature adjustable straps and buckles, allowing for customized fitting and enhanced comfort

Graph and download economic data for Expenditures: Pets by Size of Consumer Unit: Two or More People in Consumer Unit (CXUPETSLB0503M) from 2010 to 2023 about pets, consumer unit, expenditures, persons, consumer, and USA.