Which restaurants in Chicago are dog friendly?

Best cities for dogs 2020

The index Best cities for dogs 2020 compares and analyzes conditions for dogs in 50 major dog-friendly cities around the world. The study does not reflect the "best and worst" cities for dogs, but rather evaluates the dog-friendly surroundings of those cities based on factors related to dog ownership.

The study focuses on three main categories - Infrastructure, Cost, Regulation, and Ownership. The following ten factors all contributed to assessing what makes a city dog-friendly.

Infrastructure

  • Dogs / inhabitant (per 1,000 inhabitants)
  • Number of vets / dog (score)
  • Number of pet shops (score)
  • Dog-friendly restaurants (Score)
  • Dog-friendly hotels (Score)
  • Dog parks (score)

costs

  • Lifetime costs (euros)

Regulation and possession

  • Dogs abandoned / year (score)
  • Dog poop fine (Score)
  • Dog poop survey

The methods for determining the individual factors are described in detail below. All information collected is based on the latest available data.

SCORING

The indicators of each factor were transformed into a score; if a factor consisted of several indicators, the average score was determined. The equation for scoring is:

z-Score = (x - Average (X)) / Standard deviation (X) in short (x - μ) /σ

For columns where a lower value is better, the score has been reversed so that e.g. B. A low number of dogs left behind results in a high score.

more negative z-Score = -1 * (x - Average (X)) / Standard deviation (X) in short -1 * (x - μ) /σ

The scores were normalized so that the lowest value is 50 and the highest value is 100. The higher the score, the better the city scores in the respective factor. The equation for normalization is:

Score = (100-50) * (x - minimum (X)) / (maximum (X) - minimum (X)) + 50

SURVEY

A web-based survey of the residents of the cities included in this index was carried out between August 10 and 17, 2020. The answers were used to calculate the "dog feces survey (score)" factor.

In addition, the responses, along with other indicators, were used to calculate two other factors:

  • Dog-friendly restaurants (Score)
  • Dog parks (score)

For details, see the descriptions of the factors below.

FACTORS

Dogs / inhabitant (per 1,000 inhabitants)

Estimated number of dogs per 1,000 population. The estimate is based on the total number of dogs kept in each city.

  • The data is based on survey results, the number of registered dogs by the local authorities and estimates by the local media.
  • In most cases, the data was collected for the urban area. In some cases, the data were collected for the larger metropolitan area (e.g. Greater London). In a few cases the data were collected for the federal state (e.g. canton Geneva) and in three cases they refer to the whole country (Lisbon, Dublin and Oslo).
  • In those cases where data from a household survey or estimate were not available, regression analysis (linear regression) was used to estimate the total number of dogs. In these cases, the number of dogs registered was used to estimate the total number of dogs. Further details on this procedure can be provided on request.

Swell: Local authorities, local media as well as NGOs and animal feed manufacturers

Number of vets / dog (score)

Ratio of the number of veterinarians and veterinary institutes to the estimated number of dogs.

  • The number of veterinarians and veterinary institutes was determined using Yelp, Google maps and other sources (e.g. yellow pages).
  • The number of veterinarians and veterinary institutes was divided by the estimated number of dogs (dogs per 1,000 inhabitants).
  • The data were transformed according to the methodology in the "Scoring" section. A high score indicates a high ratio of the number of veterinarians and veterinary facilities to the total number of dogs.

Swell: Yelp, Google Maps, Yellow Page and other local sources.

Number of pet shops (score)

Number of pet shops per inhabitant.

  • The number of pet shops (specialty stores for pet food and pet accessories) was determined using Yelp, Google maps and other sources (e.g. yellow pages).
  • The number of pet shops was divided by the number of residents.
  • The data were transformed according to the methodology in the "Scoring" section. A high score indicates a high ratio of the number of veterinarians and veterinary facilities to the total number of dogs.

Swell: Yelp, Google Maps, Yellow Page and other local sources.

Dog-friendly restaurants (Score)

Number of restaurants where dogs are allowed divided by city population and results of a survey.

  • The number of restaurants that allow dogs was determined using Yelp, as well as other sources such as Tripadvisor and local authorities.
  • Contains the results of a survey of the residents of each city who were asked the following question: "How easy is it to find restaurants in your city that accept dogs? (Easy / Difficult on a scale of 1-7)".
  • The data were transformed according to the methodology in the "Scoring" section, with 10% of the survey results being included in the evaluation. A high score indicates a high number of dog-friendly restaurants.

Swell: Yelp, Tripadvisor, survey results, and other local sources.

Proportion of dog-friendly hotels (score)

Number of hotels that allow dogs divided by the total number of hotels.

  • The total number of hotels and the number of hotels that allow dogs were obtained using Booking.com.
  • The percentage of hotels that allow dogs was calculated by dividing the number of hotels that allow dogs by the total number of hotels.
  • The data were transformed according to the methodology in the "Scoring" section. A high score indicates a high proportion of dog-friendly hotels.

Source: Booking.com

Dog parks (score)

Number of parks that are marked as dog parks and results of a survey among the city's population.

  • Number of parks that are marked as dog parks on the Yelp platform.
  • Includes the results of a survey of the urban population on the question: “How would you rate your city for dog-friendly parks, green spaces and / or beaches? (On a scale of 1-100). "
  • The data were transformed according to the methodology in the "Scoring" section, with 10% of the survey results being included in the evaluation. A high score indicates a high number of dog parks and positive survey results.

Swell:Yelp poll results

Lifetime costs

Cumulative costs for keeping a dog over its entire lifetime (in euros).

  • Lifetime costs were estimated using survey data at the country level and cost of living at the city level.
  • In cases where country data were not available, linear regression analysis was used to estimate the missing values ​​using Numbeo's cost of living index (at the country level). Further details on the regression calculations can be provided on request.
  • City-level estimates were calculated by extrapolating the state-level values ​​across cities using cost-of-living data at the city-level: Cost Estimate (City) = Cost Estimate Country * (Numbeo Cost Of Living Index (City) / Numbeo Cost Of Living Index (Country))

Swell: Finty (Pet Ownership Costs Around the World), Numbeo

Dogs abandoned per year (score)

Estimated number of dogs abandoned per year.

  • Number of admissions to the shelter per year according to information from local authorities, media reports and NGOs.
  • The number of admissions to the shelter was recorded for each country, divided by the total number of dogs per country, and then multiplied by the estimated number of dogs per city.
  • The data were transformed according to the methodology in the "Scoring" section. A high score indicates a low number of dogs abandoned.

Swell: Local authorities, animal shelters, local media and NGOs.

Dog poop fine (Score)

The score is based on the minimum fine a dog owner would pay for not cleaning up dog poop.

  • For each city, fine information was collected from local authorities and media reports.
  • The data were transformed according to the methodology in the "Scoring" section. A high score indicates higher fines.

Sources: local authorities, local media

Dog Poo Survey (Score)

The score was calculated from responses to a web survey conducted in August 2020 asking residents about dog owners and dog litter in their city.

  • Respondents were asked two questions: “How responsible would you say are dog owners in your city when it comes to cleaning up their dog poop? (Scale from 1-100) ”
  • "In my city, leaving dog poo lying around is a significant problem (agree / disagree on a scale of 1-7)"
  • The final score was calculated according to the methodology in the "Scoring" section.