In a survey conducted about domestic pet ownership in 2022, the estimated average number of dogs per household in Australia was ***, a decrease from *** in 2021. The average number of cats per household remained the same as the previous year.

This statistic displays the average number of pets per household in the Netherlands in 2014, by type. It shows that the majority of the households with pets only has *** dog, as the average is *** per household. Cats or rabbits are more likely to be held together, as the average household having pets has *** cats and *** rabbits. A household holding homing pigeons had the highest average number, at ** pigeons.

This bar chart shows the average number of pets in households n France in 2017, by type of animal. In total, there were more than eight fish per households in France, compared to 1,2 dog.

In 2020, the average number of pets per household in China was approximately ****. Between 2016 and 2020, the average number of pets in Chinese households increased steadily in every year.

This statistic shows the average number of pets owned in households in New Zealand as of *********, by species. According to the survey results, the average number of cats among survey participants from New Zealand amounted to about *** cats per household in New Zealand.

This dataset is a modelled dataset, describing the lower estimate of 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 lower 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 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

Policy development, implementation, and effective contingency response rely on a strong evidence base to ensure success and cost-effectiveness. Where this includes preventing the establishment or spread of zoonotic or veterinary diseases infecting companion cats and dogs, descriptions of the structure and density of the populations of these pets are useful. Similarly, such descriptions may help in supporting diverse fields of study such as; evidence-based veterinary practice, veterinary epidemiology, public health and ecology. As well as maps of where pets are, estimates of how many may rarely, or never, be seen by veterinarians and might not be appropriately managed in the event of a disease outbreak are also important. Unfortunately both sources of evidence are absent from the scientific and regulatory literatures. We make this first estimate of the structure and density of pet populations by using the most recent national population estimates of cats and dogs across Great Britain and subdividing these spatially, and categorically across ownership classes. For the spatial model we used the location and size of veterinary practises across GB to predict the local density of pets, using client travel time to define catchments around practises, and combined this with residential address data to estimate the rate of ownership. For the estimates of pets which may provoke problems in managing a veterinary or zoonotic disease we reviewed the literature and defined a comprehensive suite of ownership classes for cats and dogs, collated estimates of the sub-populations for each ownership class as well as their rates of interaction and produced a coherent scaled description of the structure of the national population. The predicted density of pets varied substantially, with the lowest densities in rural areas, and the highest in the centres of large cities where each species could exceed 2500 animals.km-2. Conversely, the number of pets per household showed the opposite relationship. Both qualitative and quantitative validation support key assumptions in the model structure and suggest the model is useful at predicting the populations of cats at geographical scales important for decision-making, although it also indicates where further research may improve model performance. In the event of an animal health crisis, it appears that almost all dogs could be brought under control rapidly. For cats, a substantial and unknown number might never be bought under control and would be less likely to receive veterinary support to facilitate surveillance and disease management; we estimate this to be at least 1.5 million cats. In addition, the lack of spare capacity to care for unowned cats in welfare organisations suggests that any increase in their rate of acquisition of cats, or any decrease in the rate of re-homing might provoke problems during a period of crisis.

Analysis of ‘🐕 Cat VS Dog popularity per state’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/cat-vs-dog-popularity-in-u-se on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

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This dataset was created by Andrew Duff and contains around 0 samples along with Percentage Of Cat Owners, Mean Number Of Dogs Per Household, technical information and other features such as: - Percentage Of Households With Pets - Mean Number Of Cats - and more.

How to use this dataset

• Analyze Percentage Of Dog Owners in relation to Number Of Pet Households (in 1000)
• Study the influence of Percentage Of Cat Owners on Mean Number Of Dogs Per Household
• More datasets

Acknowledgements

If you use this dataset in your research, please credit Andrew Duff

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--- Original source retains full ownership of the source dataset ---

In 2023, fish were the type of pet owned with the highest number of animals per pet owner of ******** fish. According to the source, a dog is the most beloved type of pet among South Koreans, and a South Korean household with a dog owns an average of *** dogs.

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.

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

This statistic shows the average number of pets owned in households in Australia as of April 2016, by species. According to the survey results, the average number of dogs among survey participants from Australia amounted to about *** dogs per household in Australia.

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

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.

Poland Household Consumption: Monthly Avg: per Capita: EM: Fats: Animal Fats data was reported at 0.280 kg in 2017. This records a decrease from the previous number of 0.290 kg for 2016. Poland Household Consumption: Monthly Avg: per Capita: EM: Fats: Animal Fats data is updated yearly, averaging 0.390 kg from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 0.480 kg in 2003 and a record low of 0.190 kg in 1996. Poland Household Consumption: Monthly Avg: per Capita: EM: Fats: Animal Fats data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.H016: Household Budget Survey: Consumption per Capita.

Poland Household Consumption: Monthly Avg: per Capita: PN: Fats: Animal Fats data was reported at 0.440 kg in 2017. This stayed constant from the previous number of 0.440 kg for 2016. Poland Household Consumption: Monthly Avg: per Capita: PN: Fats: Animal Fats data is updated yearly, averaging 0.590 kg from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 0.730 kg in 2004 and a record low of 0.420 kg in 2013. Poland Household Consumption: Monthly Avg: per Capita: PN: Fats: Animal Fats data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.H016: Household Budget Survey: Consumption per Capita.

The share of households owning a pet in the United Kingdom remained relatively stable between 2012 and 2018, hovering around an estimated percentage of 47 to 45 percent. However, pet ownership levels peaked to an unprecedented high of 62 percent in 2022, likely as a result of the coronavirus pandemic and increased time spent at home. In 2023, this figure shrank to 57 percent.

Pet ownership in the UK With more than half of UK households owning at least one pet in 2021/22, dogs and cats were the most common household pets in that year, with an estimated 13 million dogs and 12 million cats living in homes. As of 2020, the United Kingdom was the second highest-ranking European country in terms of its dog population, preceded only by Germany.

Consumer spending on pets in the UK As the pet population in the United Kingdom increased in size, so did consumer spending on pet food and pet-related products and services. Spending on pets and related products reached almost eight billion British pounds in 2020, a notable increase from a mere 2.9 billion British pounds in 2005. Among the most expensive pet-related expenditures are veterinary and pet services, which constituted almost four billion British pounds in 2020.

As of 2023, an estimated *** million European households owned at least one pet. During the last decade, the number of pet-owning households has increased by approximately ** million. Pets in the European Union The most popular pets in the European Union (EU) are cats. There are approximately ****** more cats than dogs in the EU. Besides cats and dogs, other popular pets are ornamental birds, such as canaries, parakeets, parrots, and small mammals, like mice, hamsters, guinea pigs, or rabbits. The number of cats in Europe has steadily increased during the last decade. In 2010, there were about ****** cats in Europe. By 2021, this figure had reached over *******. A similar trend has been observed in the number of dogs in Europe. Cats in the European Union While cats are popular companions for households in many EU countries, Germany and France have the highest numbers of cats among EU countries by a considerable margin. However, these countries are also the most populous in the EU. Taking a look at the share of households who own at least one cat in the EU shows that the share of cat lovers in Romania is the highest. Almost half of Romanian households own a cat. The share of cat-owning households seems to be comparatively high in many eastern European countries.

Norway Average Household Expenditure: RC: Other Recreational Items, Gardens and Pets data was reported at 8,570.000 NOK in 2012. This records a decrease from the previous number of 9,310.000 NOK for 2009. Norway Average Household Expenditure: RC: Other Recreational Items, Gardens and Pets data is updated yearly, averaging 7,017.500 NOK from Dec 1999 (Median) to 2012, with 12 observations. The data reached an all-time high of 9,310.000 NOK in 2009 and a record low of 4,944.000 NOK in 1999. Norway Average Household Expenditure: RC: Other Recreational Items, Gardens and Pets data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.H016: Average Household Expenditure.

Sampled households will meet one or more of the following criteria at the time of the first survey: 1) at least one household member conducted rice field fishing at least once in the past 12 months; 2) household members consumed fish at least once in the past 4 months; 3) at least one household member has earned income by trading fish (from fish harvest to market) in the past 4 months, or is currently employed in the fish trade; 4) at least one household member has been involved in other value chain activities in the past 4 months. The monitoring will be conducted in a manner to set baseline values for zone of influence catch and employment in the fishery value chain, with which subsequent monitoring results will be compared to assess change over the life of the project. The baseline values will include kg/year for fish production (including a trend over multiple years, if possible, or otherwise the previous year value for kg/year), household fish consumption, and threshold price of fish and other aquatic animals purchased by food insecure households. The Catch, consumption, and employment survey and procedures are based on the recommendations made and applied for the USAID RFFII project (see Hortle, 2012). Sampling of fishing households will be conducted four times each year, once each during flood recession, dry season, flood rising, and wet season. A minimum of 20 households are sampled per CFR site. The survey is designed to be longitudinal by revisiting the same households during each survey occasion. If a household has migrated or is unavailable during the survey period, another household will be surveyed in its place for that occasion only. Questions will be asked on the amount of household catch (including fish, other aquatic animals, and aquatic plants) by habitat and species, market price of the catch by species, use of the catch (consumption, sale, processing, livestock feed, other uses, and loss due to cleaning, discards, and/or spoilage), the number of hours household members have spent working in the fish value chain (including to manage, harvest, process, and market fish, for income or subsistence purposes), and the ID Poor status of the household. Responses will be recorded using Kobo toolbox, a mobile data collection platform. The recorded data will be used to calculate average household quantity of fish catch from rice field ecosystems in the CFR zone of influence, fish consumption, and fishery related incomes and employment. The proportion of surveyed households that fished, the average household fish catch per site from the four sampling occasions in a year, along with the estimated area of the CFR zone of influence, will be used to calculate annual rice field fishery productivity. Fishery incomes will be calculated from the average value of household catch. For employment, fishery labour hours will be reported as FTE. Numbers of fish powder producers and hours spent producing fish powder will be cross-checked with records from nutrition training groups and household visioning exercises. National population census statistics on household size, proportions of men, women, and youth and adults, will be used to convert the household averages to estimated population-level values for the indicators.