In 2023, dog population in Italy amounted to approximately 14.3 million, an increase of just under two percent compared to the previous year. A possible reason behind the increase in pet ownership in the last four years is the outbreak of the coronavirus pandemic, when people were confined to their homes and perhaps longing for the comfort and companionship provided by a pet. Favorite pet animals Even though bird and cat populations were larger than dogs’ population in Italy, according to a survey conducted in 2024, dogs were Italians’ favorite pet friends. Close to 42 percent of Italians picked dogs as their preferred pet animal, while about 38 percent indicated cats as their preference. Pet food and pet care The love of Italians for their pet friends is reflected in the amount of money they spend on them: in 2023, over three billion euros was spent on dog and cat food products in Italy. The large increase in pet ownership in Italy in 2022 is likely directly correlated to the displayed increase in cat and dog food product sales.

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.

This dataset is a modelled dataset, describing the predicted population of dogs per postcode district (e.g. YO41). This dataset gives the mean estimate for population 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. Attribution statement: ©Crown Copyright, APHA 2016

The estimated number of pet dogs in Sweden increased in selected years from 2010 to 2023. The dog population in Sweden was measured at approximately 1.05 million in 2023, an increase from the previous year.

In 2023, the dog population in Europe was measured at approximately ****** million, an increase from around ****** million in the previous year. Overall, the number of pet-owning households in Europe was estimated to be around *** million in 2023. Pets in the European Union With a pet population reaching almost ** million in 2022, cats were the most populous animal type in the European Union, followed by dogs and ornamental birds. Other popular pets that year included small mammals, ornamental fish, and pet reptiles. There were approximately *** million pet reptiles in the European Union in 2022. Germany was home to the highest population of pet dogs in the European Union in 2022, at around **** million. Pet retailers in Europe The German pet food company Fressnapf was Europe’s top pet care retailer, with more than 2.1 billion euros in annual turnover in 2019. Fressnapf’s competitors in Europe are prominent pet care retailers such as the United Kingdom’s Pets at Home, the Belgian company Aveve, and the German Futterhaus, amongst others. Pets at Home is the largest pet retailer in the United Kingdom, recording annual revenues exceeding 1.32 billion British pounds in 2022.

Dogs (Canis lupus familiaris) are one of the most common pets around the world but ownership patterns and human-dog interactions have been changing, particularly in developing nations. We conducted household surveys in Costa Rica to characterize dog ownership, the owned dog population, where dogs were confined at night and in the morning, and behaviors regarding selected dog care issues. We also compared these results to similar questionnaires used in Costa Rica over the past 20 years. We found 76% of households in Costa Rica owned at least one dog and on average there were about 1.4 dogs owned per household. These dog ownership rates are higher than previous estimates. The probability of owning a dog was highest on farms and lowest in single family dwellings without a yard, higher among respondents that owned their homes and decreasing with increasing human population density The total number of owned dogs in Costa Rica was estimated to be 2,222,032 (95% confidence intervals: 1,981,497–2,503,751). The sterilization rate for homed dogs in 2020 was approximately 62% (females: 67%, males: 61%) which is higher than the 18% of owned dogs that were sterilized in a 2003 survey. Overall, only 1.2% (95% CI: 0.3–2.5%) of owned dogs slept on the street with a slightly higher proportion on the street at 8 am. The number of owned dogs roaming the streets at night nation-wide was estimated to be 27,208 (95% CI: 7,557–56,619) compared to 43,142 (95% CI: 20,118–73,618) on the street at 8 am. The number of unowned free-roaming dogs in Costa Rica has never been estimated but we can generate some idea of the size of the unowned dog population by determining the proportion of free-roaming dogs on the street wearing collars. There was a negative relationship between human population density and owned dogs being on the street meaning fewer dogs roam the streets in highly populated areas compared to less populated areas. Overall, we identify trends against which future progress can be measured and provide information that are critical in designing effective humane dog management programs in Costa Rica in the future.

The population of dogs kept as pets in the United Kingdom (UK) was estimated at **** million in 2024, which is an increase of around *** million from the previous year. Dog ownership in the UK As the population of dogs grew in the United Kingdom over the last decade, so did the share of dog-owning households in the UK. Between 2019/20 and 2021/22, the share of UK households owning a pet dog jumped from ** percent to around ** percent. This sudden increase could be attributed to the coronavirus pandemic and the resulting government-imposed quarantines that forced people to stay at home. UK households own pet dogs from various breeds. However, Labrador Retrievers were by far the most popular dog breed in the UK, with around ****** registrations in 2020. French Bulldogs were also equally popular with ****** registrations in that year. How much does it cost to own a dog in the UK? Consumer spending on pets and related products went up significantly in the United Kingdom between 2005 and 2020, with expenditure levels peaking at **** billion British pounds in 2020. The annual cost of keeping a pet dog in the UK amounted to an estimated ***** GBP as of 2022. Broken down by expense type, boarding for two weeks cost approximately *** GBP per year and is the costliest part of owning a pet dog, followed by pet insurance estimated at around *** GBP annually.

This dataset is a modelled dataset, describing the mean number 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 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:

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 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.

Dog ownership determinants in Kandal province: Results of the negative binomial regression model with the number of dogs per family as model outcome, the number of children younger than 15yrs, the sex and age of the family’s head, occurrence of at least one bite event during the previous year and the village as explanatory variable.

This driver analyzes the number of domesticated pets and companion animals owned in the US. Pets, defined in this driver as either cats or dogs, provide personal company or protection but are not considered working animals or livestock. The American Pet Products Association (APPA) conducts a biennial National Pet Owners Survey, and the data used in the survey regarding cat and dog ownership is collected and discussed here.

Poor management of dog populations causes many problems in different countries, including rabies. To strategically design a dog population management, certain sets of data are required, such as the population size and spatial distribution of dogs. However, these data are rarely available or incomplete. Hence, this study aimed to describe the characteristics of dog populations in Thailand, explore their spatial distribution and relevant factors, and estimate the number of dogs in the whole country. First, four districts were selected as representatives of each region. Each district was partitioned into grids with a 300-m resolution. The selected grids were then surveyed, and the number of dogs and related data were collected. Random forest models with a two-part approach were used to quantify the association between the surveyed dog population and predictor variables. The spatial distribution of dog populations was then predicted. A total of 1,750 grids were surveyed (945 grids with dog presence and 805 grids with dog absence). Among the surveyed dogs, 86.6% (12,027/13,895) were owned. Of these, 51% were classified as independent, followed by confined (25%), semi-independent (21%), and unidentified dogs (3%). Seventy-two percent (1,348/1,868) of the ownerless dogs were feral, and the rest were community dogs. The spatial pattern of the dog populations was highly distributed in big cities such as Bangkok and its suburbs. In owned dogs, it was linked to household demographics, whereas it was related to community factors in ownerless dogs. The number of estimated dogs in the entire country was 12.8 million heads including 11.2 million owned dogs (21.7 heads/km2) and 1.6 million ownerless dogs (3.2 heads/km2). The methods developed here are extrapolatable to a larger area and use much less budget and manpower compared to the present practices. Our results are helpful for canine rabies prevention and control programs, such as dog population management and control and rabies vaccine allocation.

The most significant f3 statistics shown the possible ancestor mixture of Korean, ancient dog populations and outgroup.

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.

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. Attribution statement: ©Crown Copyright, APHA 2016

ABSTRACT This study aimed to evaluate the demographic and healthcare situation of dogs and cats owned by families assisted by the Family Health Strategy (FHS), from Santa Maria/RS, Brazil. This research was a cross-sectional and population-based study developed by applying a questionnaire to residents in the 16 FHS areas of the city. This was the first study addressing pet animal conditions in the FHS area. A total of 414 households were studied, and 88.5% of them had pets (dogs and/or cats), with an average of 2.2 dogs and 0.8 cats per household. Only 18.4% (228/1.241) of the animals were sterilized (dogs, 15.1% [135/891]; cats, 26.7% [93/348]). When considering the number of dogs, households with one resident had fewer dogs than households with two or more residents (p=0.006). The level of education and family income were not associated with the number of animals (p>0.001). However, higher levels of education and family income were associated with the sterilization of dogs, veterinary monitoring, vaccination, and treatment of ectoparasites in dogs and cats (p

A cost-effective estimation of the number of free-roaming dogs is an essential prerequisite for the control of rabies in countries where the disease is endemic, as vaccination of at least 70% of the population is recommended to effectively control the disease. Although estimating the population size through sight-resight based maximum likelihood methodology generates an estimate closest to the actual size, it requires at least five survey efforts to achieve this. In a rural setting in India, a reliable estimate of at least 70% of the likely true population of free-roaming dogs was obtained with the Application SuperDuplicates shinyapp online tool using a photographic sight-resight technique through just two surveys. We tested the wider applicability of this method by validating its use in urban settings in India. Sight-resight surveys of free-roaming dogs were conducted in 15 sectors of the Panchkula Municipal Corporation in north India during September- October 2016. A total of 1,408 unique dogs were identified through 3,465 sightings on 14 survey tracks. The estimates obtained by the Application SuperDuplicates shinyapp online tool after two surveys were compared with the maximum likelihood estimates and it was found that the former, after two surveys, provided an estimate that was at least 70% of that obtained by the latter after 5–6 surveys. Thus, the Application SuperDuplicates shinyapp online tool provides an efficient means for estimating the minimum number of free-roaming dogs to vaccinate with a considerably lower effort than the traditional mark-resight based methods. We recommend use of this tool for estimating the vaccination target of free-roaming dogs prior to undertaking mass vaccination efforts against rabies.

Provide the website for the 1996 national dog population data.

Identification of bite risk factors on the interviewed population (n = 9797) in Battambang province: Results of the negative binomial generalized linear model with the number of bite events per family per year as output and the village, the number of children