📌 Overview

"Living in India 2025" is a synthetic yet realistic dataset that explores the cost of living and quality of life across 200 Indian cities. It combines key indicators such as average rent, food cost, internet speed, healthcare rating, safety score, and happiness index to help analysts, students, and data enthusiasts perform in-depth comparisons and uncover meaningful insights. 📊 What’s Inside

The dataset contains 200 rows (one per city) and the following columns:

City – Name of the Indian city.

Average Rent (₹) – Estimated monthly rent for a standard apartment.

Food Cost (₹) – Average monthly food expenses per person.

Internet Speed (Mbps) – Typical broadband download speed.

Healthcare Rating (1-10) – Quality and accessibility of healthcare services.

Safety Score (1-10) – Perceived safety level in the city.

Happiness Index (1-10) – Overall life satisfaction rating.

💡 Potential Insights You Can Explore

Which Indian cities provide the best happiness for the least money?

How safety and happiness correlate across regions.

Which cities are most digital-nomad-friendly based on internet speed and cost.

Regional patterns in healthcare quality vs cost of living.

🛠 Ideal For

Exploratory Data Analysis (EDA)

Data Visualization Projects

Regression & Correlation Studies

Geospatial Mapping

Urban Economics & Policy Research

The south zone in Mumbai, India, had the highest rental cost in 2024, followed by the harbor and the central part of the city. That is because of the concentration of commercial activity in particular areas in the city, thus boasting demand and rental prices. In Mumbai South, the median apartment rent ranged between ******* and ******* Indian rupees per month.

India Manufacturing Industries: Rent Paid data was reported at 196,432.100 INR mn in 2017. This records an increase from the previous number of 177,476.000 INR mn for 2016. India Manufacturing Industries: Rent Paid data is updated yearly, averaging 40,847.250 INR mn from Mar 1982 (Median) to 2017, with 36 observations. The data reached an all-time high of 196,432.100 INR mn in 2017 and a record low of 1,688.100 INR mn in 1982. India Manufacturing Industries: Rent Paid data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAC001: Manufacturing Industry: NIC 2008: All Industries.

In the first quarter of 2024, the central business district (CBD) was the most expensive area for renting office space in the Delhi-NCR region of India, with a rental rate of around ***** Indian rupees per square foot per month. Noida sector 62 offered office space at the lowest rate of around **** rupees per square foot per month, among all sub-markets of Delhi-NCR. The average rent for Delhi-NCR office market space was ***** rupees per square foot per month.

In the first quarter of 2024, the Bandra-Kurla complex was the most expensive area for renting office space in the Indian city of Mumbai, with a rental rate of around *** Indian rupees per square foot per month. Navi Mumbai offered office space at the lowest rate of around ** rupees per square foot per month, among all sub-markets of Mumbai. The average rent for Mumbai office market space was around *** rupees per square foot per month.

See the average Airbnb revenue & other vacation rental data in Mumbai in 2025 by property type & size, powered by Airbtics. Find top locations for investing.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2010, the 2010 Census provides the official counts of the population and housing units for the nation, states, counties, cities and towns. For 2006 to 2009, the Population Estimates Program provides intercensal estimates of the population for the nation, states, and counties..Explanation of Symbols:.An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2006-2010 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2006-2010 American Community Survey

In the first quarter of 2024, the central business district (CBD) was the most expensive area for renting office space in the Indian state of Bengaluru, with a rental rate of ***** Indian rupees per square foot per month. Electronic city offered office space at the lowest rate of **** rupees per square foot per month, among all sub-markets of Bengaluru. The average rent for Bengaluru office market space was **** rupees per square foot per month.

The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.