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The Importance Of The Cities Cost Of Living And Average Prices API In Economic Geography

Economic geography is a field of research that studies the economic aspects of a place. This can be a city, a region, or even a country. The main goal of economic geography is to analyze the economic activities that take place in a certain area and how they are related to each other, and see which activities are a priority in a certain region. 

Business owners and researchers demand from developers to devise tools that can ease down their job by developing cities cost of living and average prices tools to automate data collection.

The Importance Of The Cities Cost Of Living And Average Prices API In Economic Geography

Economic geography is an important part of economy because it can help companies understand better the features of a certain location, their strengths and weaknesses, so as to see which products sell better and the feasibility of expanding their business. Likewise it`s a branch of geography that studies the spatial organization of economic activities. It is divided into two areas: industrial geography and commercial geography. It is one of the most important fields of geographical study as it allows us to understand how and why certain economic activities are concentrated in certain places which will allow to make strategic decisions about how to develop our cities. Thus the relevance of Cities Cost Of Living And Average Prices API to pave the way of research.

This tool will allow to obtain current prices and costs of living in any city in the world automatically. With this information we will be able to know the most expensive cities in the world, as well as how much it costs to live in each city on a daily, weekly or monthly basis. The coverage goes from housing, rental, consumer products, commodities, education, mortgage, and many more items to draw an accurate analysis of the location.

Another important thing is that Cities Cost Of Living And Average Prices API has a wide range of supported cities. You can query data from up to 64 cities at once. You can also choose between getting prices in USD or local currency. This means you can get data from any city in the world without having to worry about conversions, and perform comparative analysis in no time at all.

The API contains 4 endpoints:

  • Get Countries. This is one of the main endpoints and it provides information about the cost of living for the country requested, in the currency requested.
  • Get Cities by Country. This is one of the main endpoints and it provides information about the cost of living for the cities that are inside the radius of the coordinates requested, in the currencies requested.
  • Cost of Living by Country. An auxiliary endpoint that returns the CoL of the requested country in the dataset.
  • Cost of Living by City. An auxiliary endpoint that returns the dataset of the CoL in the requested city/cities.
The Importance Of The Cities Cost Of Living And Average Prices API In Economic Geography

How To Get Started

Counting on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Cities Cost Of Living And Average Prices API by simply clicking on the button “Start Free Trial”. Then meet the needed endpoint and simply provide the search reference. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.

If the input is France at the endpoint , the response will furnish details like the CoL for 2 people on a monthly basis not counting rent, restaurant prices, consumer products, beverages and food, and many other details that will serve a purpose in economic geography. This is only an extract of the response that looks like this:

{ "Version": 1, "Country Name": "France", "City Name": "", "Cost of Living Month Total": "1470.82", "Currency": "USD", "Note": "Total cost of living in France for two person with average consumption for one month will be 1470.82 USD, no rent price included", "Status": 200, "Success": true, "Restaurants prices": [ { "Cost": "Meal in Inexpensive Restaurant", "Value": "14.21" }, { "Cost": "Meal for 2 People, Mid-range Restaurant, Three-course", "Value": "59.22" }, { "Cost": "McMeal at McDonalds or Alternative Combo Meal", "Value": "9.47" }, { "Cost": "Domestic Beer, 0.5 liter Draught", "Value": "5.92" }, { "Cost": "Imported Beer, 0.33 liter Bottle", "Value": "5.33" }, { "Cost": "Cappuccino", "Value": "3.14" }, { "Cost": "Coca-Cola, 0.33 liter Bottle", "Value": "2.76" } ], "Markets prices": [ { "Cost": "Water, 0.33 liter Bottle", "Value": "1.79" }, { "Cost": "Milk, Regular,1 liter", "Value": "1.13" }, { "Cost": "Loaf of Fresh White Bread, 0.5 kg", "Value": "1.61" }
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