Explore the complexities of living expenses in India with the India Cost Of Living API. Discover comprehensive data on housing, food, transportation and leisure expenses. Gain valuable information on average wages and purchasing power, enabling you to make informed decisions in the dynamic Canadian living landscape.
[
{
"id": 783,
"country": "india",
"name": "Agartala, India",
"city": "agartala",
"url": "/country/india/city/agartala/cost-of-living",
"iso3": "ind"
},
{
"id": 784,
"country": "india",
"name": "Agra, India",
"city": "agra",
"url": "/country/india/city/agra/cost-of-living",
"iso3": "ind"
},
{
"id": 785,
"country": "india",
"name": "Ahmedabad, India",
"city": "ahmedabad",
"url": "/country/india/city/ahmedabad/cost-of-living",
"iso3": "ind"
}
]
curl --location --request GET 'https://zylalabs.com/api/3466/india+cost+of+living+api/3783/get+cities' --header 'Authorization: Bearer YOUR_API_KEY'
{
"Version": 1,
"Status": 200,
"Success": true,
"City Name": "Mumbai",
"Meal, Inexpensive Restaurant": "400.00 ₹",
"Meal for 2 People, Mid-range Restaurant, Three-course": "1,500.00 ₹",
"McMeal at McDonalds (or Equivalent Combo Meal)": "400.00 ₹",
"Domestic Beer (1 pint draught)": "200.00 ₹",
"Imported Beer (12 oz small bottle)": "314.86 ₹",
"Cappuccino (regular)": "219.09 ₹",
"Coke/Pepsi (12 oz small bottle)": "41.24 ₹",
"Water (12 oz small bottle)": "15.28 ₹",
"Milk (regular), (1 gallon)": "247.68 ₹",
"Loaf of Fresh White Bread (1 lb)": "41.82 ₹",
"Rice (white), (1 lb)": "30.98 ₹",
"Eggs (regular) (12)": "88.91 ₹",
"Local Cheese (1 lb)": "246.43 ₹",
"Chicken Fillets (1 lb)": "138.32 ₹",
"Buffalo Round (1 lb) (or Equivalent Back Leg Red Meat)": "201.30 ₹",
"Apples (1 lb)": "91.88 ₹",
"Banana (1 lb)": "28.81 ₹",
"Oranges (1 lb)": "46.46 ₹",
"Tomato (1 lb)": "21.64 ₹",
"Potato (1 lb)": "15.47 ₹",
"Onion (1 lb)": "17.48 ₹",
"Lettuce (1 head)": "47.21 ₹",
"Water (1.5 liter bottle)": "30.27 ₹",
"Bottle of Wine (Mid-Range)": "800.00 ₹",
"Domestic Beer (0.5 liter bottle)": "179.65 ₹",
"Cigarettes 20 Pack (Marlboro)": "350.00 ₹",
"One-way Ticket (Local Transport)": "20.00 ₹",
"Monthly Pass (Regular Price)": "320.00 ₹",
"Taxi Start (Normal Tariff)": "29.00 ₹",
"Taxi 1 mile (Normal Tariff)": "48.28 ₹",
"Taxi 1hour Waiting (Normal Tariff)": "100.00 ₹",
"Gasoline (1 gallon)": "401.98 ₹",
"Volkswagen Golf 1.4 90 KW Trendline (Or Equivalent New Car)": "1,332,500.00 ₹",
"Toyota Corolla Sedan 1.6l 97kW Comfort (Or Equivalent New Car)": "1,848,121.09 ₹",
"Basic (Electricity, Heating, Cooling, Water, Garbage) for 915 sq ft Apartment": "4,703.31 ₹",
"Mobile Phone Monthly Plan with Calls and 10GB+ Data": "353.42 ₹",
"Internet (60 Mbps or More, Unlimited Data, Cable/ADSL)": "730.60 ₹",
"Fitness Club, Monthly Fee for 1 Adult": "2,010.15 ₹",
"Tennis Court Rent (1 Hour on Weekend)": "1,000.00 ₹",
"Cinema, International Release, 1 Seat": "400.00 ₹",
"Preschool (or Kindergarten), Full Day, Private, Monthly for 1 Child": "9,775.36 ₹",
"International Primary School, Yearly for 1 Child": "230,476.19 ₹",
"1 Pair of Jeans (Levis 501 Or Similar)": "2,311.40 ₹",
"1 Summer Dress in a Chain Store (Zara, H&M, ...)": "2,384.34 ₹",
"1 Pair of Nike Running Shoes (Mid-Range)": "5,072.95 ₹",
"1 Pair of Men Leather Business Shoes": "3,480.00 ₹",
"Apartment (1 bedroom) in City Centre": "47,432.90 ₹",
"Apartment (1 bedroom) Outside of Centre": "26,637.33 ₹",
"Apartment (3 bedrooms) in City Centre": "152,496.59 ₹",
"Apartment (3 bedrooms) Outside of Centre": "75,247.90 ₹",
"Price per Square Feet to Buy Apartment in City Centre": "62,432.62 ₹",
"Price per Square Feet to Buy Apartment Outside of Centre": "31,805.71 ₹",
"Average Monthly Net Salary (After Tax)": "65,837.89 ₹",
"Mortgage Interest Rate in Percentages (%), Yearly, for 20 Years Fixed-Rate": "9.06"
}
curl --location --request GET 'https://zylalabs.com/api/3466/india+cost+of+living+api/3784/get+prices?city=Mumbai' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the India Cost Of Living API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
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Dive into a comprehensive view of living expenses in India using the Cost of Living in India API. This advanced tool meticulously analyzes the intricate details of housing, food, transportation and leisure costs, providing users with a comprehensive understanding of the financial dynamics of living in India.
Precisely designed, the API provides a comprehensive breakdown of average wages and purchasing power, equipping users with crucial data to make informed decisions. Whether you are thinking of relocating, designing corporate strategies or exploring investment opportunities, this API will prove invaluable.
For individuals considering a move to India, the API unveils a detailed financial picture, which aids meticulous planning and decision making. Companies looking to expand in India benefit from strategic intelligence, as the API enables accurate budgeting and trade-off planning essential to the success of corporate efforts.
Real estate investors exploring opportunities in India can leverage API insights to gather crucial information such as cost of living, housing prices and local purchasing power, facilitating informed decision making for profitable real estate ventures. In addition, travelers planning to visit India can enhance their experiences by using the API to collect detailed information on accommodation, meals, transportation and leisure expenses.
HR and recruiting professionals can use the India Cost Of Living API to design effective human capital strategies. By aligning salary structures with the local cost of living, companies can attract and retain top talent, ensuring a tailored and competitive approach to human resource management across the Indian career landscape.
This API will receive the city name and it will deliver a different range of prices for different goods and services. Check income and average prices.
Financial Planning for Expatriates: API helps people planning to move to India. It provides detailed information on essential living costs, enabling expatriates to make informed decisions about their relocation taking into account the complexities of housing, food, transportation and leisure expenses.
Corporate expansion strategy: Companies planning to expand their operations can leverage the API for strategic planning. It provides comprehensive cost-of-living analysis, facilitating accurate budgeting and compensation planning, crucial for successful corporate expansion in the dynamic Canadian market.
Real estate investment decision making: Investors exploring real estate opportunities can use the API to gain valuable insights. By examining cost of living, housing prices and local purchasing power, this tool helps investors make data-driven decisions for successful real estate projects.
Improved travel budgeting: Travelers planning trips can optimize their budget with the API. It provides detailed information on costs related to accommodation, meals, transportation and leisure, ensuring an enjoyable and well-informed travel experience in India diverse and dynamic landscape.
Strategic HR salary planning: HR professionals and recruiters can use the API to develop strategic HR plans. By aligning salary structures with the local cost of living, companies can attract and retain top talent, fostering a competitive and well-tailored approach to human resource management.
The only limitation is the number of API calls you can make per month that support each plan.
India Cost of Living API is a data service that provides detailed information on the prices of goods and services in cities across India. It covers a range of expenses, including housing, groceries, transportation and entertainment.
To access the API, make HTTP requests to the designated endpoint with parameters specifying the city or region of interest. The API will respond with comprehensive data on various expenses.
The API includes information on diverse cost categories, encompassing housing, groceries, transportation, entertainment, and more. Users can retrieve granular data to understand the complete economic landscape of a particular location.
The API aims to provide up-to-date information, but the frequency of updates may vary. Users should refer to the API documentation for details on data update intervals and ensure the relevance of the retrieved data.
Absolutely. The API is designed to support comparisons between different cities, allowing users to analyze and contrast the cost of living indices, average salaries, and purchasing power across various locations.
The "Get Cities" endpoint returns a list of cities in India, including city names and identifiers. The "Get Prices" endpoint provides detailed cost information for various goods and services in a specified city, such as meal prices, transportation costs, and housing expenses.
Key fields in the "Get Prices" response include "City Name," various item prices (e.g., meals, groceries), and their respective costs in Indian Rupees (₹). The "Get Cities" response includes fields like "id," "country," "name," and "url" for accessing specific city data.
The response data is structured in JSON format. For "Get Prices," it includes a status code, success indicator, city name, and a list of items with their prices. The "Get Cities" response provides an array of city objects, each containing relevant identifiers and names.
The "Get Prices" endpoint requires a city name as a parameter to retrieve specific cost data. The "Get Cities" endpoint does not require any parameters and returns all available cities in India.
The "Get Cities" endpoint provides a comprehensive list of cities in India. The "Get Prices" endpoint offers detailed pricing information for various categories, including food, transportation, and leisure activities, allowing users to understand living costs in specific locations.
Users can analyze the pricing data to budget for living expenses, compare costs across cities, or make informed decisions about relocation or travel. For example, knowing the price of a meal in Mumbai versus Agra can help travelers plan their dining budgets accordingly.
The data is sourced from various local and national databases, surveys, and market research to ensure a comprehensive and accurate representation of living costs in India. This multi-source approach helps maintain data reliability.
Data accuracy is maintained through regular updates and validation processes, including cross-referencing with local market trends and consumer price indices. Quality checks are implemented to ensure that the information reflects current living conditions.
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