Delhi was the largest city in terms of number of inhabitants in India in 2023.The capital city was estimated to house nearly 33 million people, with Mumbai ranking second that year. India's population estimate was 1.4 billion, ahead of China that same year.

Title: Population Data of Indian Cities (2011 and 2001)

Description: This dataset contains population information for various cities in India, categorized by rank, city name, and population figures for the years 2011 and 2001. Additionally, it includes the corresponding state or union territory to which each city belongs. The dataset provides insights into population changes over a decade in different cities across India.

Columns:

Rank: This column represents the rank of each city based on its population in the year 2011. Cities are typically ranked in descending order of population, with the most populous city having the rank 1.

City: This column contains the names of the cities for which population data is recorded.

Population (2011): This column displays the population count of each city as of the year 2011. The population figures are likely to be recorded in thousands or millions

Population (2001): This column provides the population count of each city as of the year 2001. Comparing this data with the 2011 population figures allows for an analysis of population growth or decline over the decade.

State or Union Territory: This column indicates the administrative division to which each city belongs. In India, cities are typically grouped into states or union territories, and this column helps identify the geographical context of each city.

Actual value and historical data chart for India Population In The Largest City Percent Of Urban Population

Delhi was the largest city in terms of number of inhabitants in India in 2025. The capital city was estimated to house nearly 35 million people, with Mumbai ranking second that year. India's population estimate was 1.4 billion, ahead of China that same year.

The below dataset shows the top 800 biggest cities in the world and their populations in the year 2024. It also tells us which country and continent each city is in, and their rank based on population size. Here are the top ten cities:

• Tokyo, Japan - in Asia, with 37,115,035 people.
• Delhi, India - in Asia, with 33,807,403 people.
• Shanghai, China - in Asia, with 29,867,918 people.
• Dhaka, Bangladesh - in Asia, with 23,935,652 people.
• Sao Paulo, Brazil - in South America, with 22,806,704 people.
• Cairo, Egypt - in Africa, with 22,623,874 people.
• Mexico City, Mexico - in North America, with 22,505,315 people.
• Beijing, China - in Asia, with 22,189,082 people.
• Mumbai, India - in Asia, with 21,673,149 people.
• Osaka, Japan - in Asia, with 18,967,459 people.

Japan’s largest city, greater Tokyo, had a staggering ***** million inhabitants in 2023, making it the most populous city across the Asia-Pacific region. India had the second largest city after Japan with a population consisting of approximately ** million inhabitants. Contrastingly, approximately *** thousand inhabitants populated Papua New Guinea's largest city in 2023. A megacity regionNot only did Japan and India have the largest cities throughout the Asia-Pacific region but they were among the three most populated cities worldwide in 2023. Interestingly, over half on the world’s megacities were situated in the Asia-Pacific region. However, being home to more than half of the world’s population, it does not seem surprising that by 2025 it is expected that more than two thirds of the megacities across the globe will be located in the Asia Pacific region. Other megacities are also expected to emerge within the Asia-Pacific region throughout the next decade. There have even been suggestions that Indonesia’s Jakarta and its conurbation will overtake Greater Tokyo in terms of population size by 2030. Increasing populationsIncreased populations in megacities can be down to increased economic activity. As more countries across the Asia-Pacific region have made the transition from agriculture to industry, the population has adjusted accordingly. Thus, more regions have experienced higher shares of urban populations. However, as many cities such as Beijing, Shanghai, and Seoul have an aging population, this may have an impact on their future population sizes, with these Asian regions estimated to have significant shares of the population being over 65 years old by 2035.

CONTENT

• It is perhaps unsurprising that the majority of the most populous cities in the world are in the two most populated countries in the world, China and India. Among these are Shanghai and Beijing, with populations of 25 and 22 million respectively, Delhi (27 million), and Mumbai (over 21.5 million).

• Tokyo is the largest city in the world if the entire Tokyo metro area is included, with a total of more than 38 million residents. Another Japanese city, Osaka, also has a very large population of almost 20.5 million. There are also a number of non-Asian cities with high populations, including Mexico City (over 21 million), Cairo (almost 19.5 million), and Buenos Aires (almost 15.5 million).

• European cities, Istanbul is the most populous, with more than 14.5 million residents. This is followed by Moscow (over 12 million) and Paris (11 million including the Paris metro area). These cities are of course also culturally significant and between them welcome millions of tourists each year.

• There are quite a number of popular and culturally rich cities that have smaller populations, often making for higher living standards for their residents. Barcelona, Sydney, Berlin and Vancouver all have fewer than five million residents, but are very popular choices for city living. There are also some comparatively very small cities with big cultural, historical or political reputations, such as Sarajevo (314,000), Edinburgh (502,000), and Venice (631,000), demonstrating that small cities can be highly significant regardless of the size of their population.

In 2022, the union territory of Delhi had the highest urban population density of over ** thousand persons per square kilometer. While the rural population density was highest in union territory of Puducherry, followed by the state of Bihar.

India is one of the largest and populous country of the world and hence, it is next to impossible to recall Pin code of any particular locality in a city/town or village or to locate a place using its Pin code. This dataset will be helpful to find pin code or area, it can be also helpful for e commerce field. The Department of Posts has been the cornerstone of India's communication for more than a century and a half, playing a vital role in the country's socio-economic development. It impacts the lives of Indian citizens through various services. With a huge number of post offices, it boasts the most extensive postal network worldwide

📊 India States & Union Territories Dataset 🇮🇳

This dataset provides a comprehensive overview of India's States and Union Territories, offering detailed information about their administrative structure, demographics, and linguistic diversity. It serves as a valuable resource for understanding the vastness and complexity of India's regional distribution.

📑 Dataset Contents:

• Name: Name of the State or Union Territory 🏙️
• Type: Administrative type (State or Union Territory) 🏛️
• ISO: Official ISO Code 🌍
• Vehiclecode: Unique Vehicle Registration Code 🚗
• Zone: Geographical Zone 🌏
• Capital: Administrative Capital 🏛️
• Largest City: The most populous city within the state 🏙️
• Statehood: Year the state gained full statehood 🎉
• Population: Total population of the state or UT 👥
• Area: Geographic area in square kilometers 🌍
• Official Languages: Primary official languages of the state 🗣️
• Additional Official Languages: Secondary official languages 📚

🔍 Purpose:

This dataset is designed to provide an in-depth look at the various States and Union Territories across India. It combines vital information on governance, geography, population, and language diversity, making it an essential tool for researchers, analysts, and anyone interested in India's regional landscape.

🚀 Applications:

• Data Analysis: Understand regional distribution and demographics 📊
• Geography Research: Explore geographical zones and area details 🌍
• Linguistic Studies: Study the diversity of languages spoken across India 🗣️
• Governance Comparison: Compare States and Union Territories based on statehood and type ⚖️

📝 Contributing:

Feel free to fork this repository and contribute! 💡 Pull requests are welcome for improvements or additional information.

📬 Contact:

For any questions or suggestions, raise suggestions! 📧

As of September 2025, Mumbai had the highest cost of living among other cities in the country, with an index value of ****. Gurgaon, a satellite city of Delhi and part of the National Capital Region (NCR) followed it with an index value of ****.  What is cost of living? The cost of living varies depending on geographical regions and factors that affect the cost of living in an area include housing, food, utilities, clothing, childcare, and fuel among others. The cost of living is calculated based on different measures such as the consumer price index (CPI), living cost indexes, and wage price index. CPI refers to the change in the value of consumer goods and services. The wage price index, on the other hand, measures the change in labor services prices due to market pressures. Lastly, the living cost indexes calculate the impact of changing costs on different households. The relationship between wages and costs determines affordability and shifts in the cost of living. Mumbai tops the list Mumbai usually tops the list of most expensive cities in India. As the financial and entertainment hub of the country, Mumbai offers wide opportunities and attracts talent from all over the country. It is the second-largest city in India and has one of the most expensive real estates in the world.

In 2023, approximately a third of the total population in India lived in cities. The trend shows an increase of urbanization by more than 4 percent in the last decade, meaning people have moved away from rural areas to find work and make a living in the cities. Leaving the fieldOver the last decade, urbanization in India has increased by almost 4 percent, as more and more people leave the agricultural sector to find work in services. Agriculture plays a significant role in the Indian economy and it employs almost half of India’s workforce today, however, its contribution to India’s GDP has been decreasing while the services sector gained in importance. No rural exodus in sightWhile urbanization is increasing as more jobs in telecommunications and IT are created and the private sector gains in importance, India is not facing a shortage of agricultural workers or a mass exodus to the cities yet. India is a very densely populated country with vast areas of arable land – over 155 million hectares of land was cultivated land in India as of 2015, for example, and textiles, especially cotton, are still one of the major exports. So while a shift of the workforce focus is obviously taking place, India is not struggling to fulfill trade demands yet.

This statistic illustrates the consumption expenditure per capita across the largest cities in India in 2015. The nation capital region, Delhi, had a per capita consumer expenditure of approximately ******* Indian rupees. Bangalore had the highest per capita consumption expenditure during the measured time period.

The global per capita expenditure on apparel in 2015 and 2025, broken down by region, can be found here.

Indian Tourist Destinations Dataset Dataset Overview This dataset provides a comprehensive list of popular tourist destinations across India, categorized by city, with additional information on ratings, descriptions, and the best time to visit. The data is compiled from various travel survey platforms such as MakeMyTrip, Holidify, and other reliable travel resources.

Columns Description ID: A unique identifier for each city in the dataset. City: The name of the tourist destination city or region in India. Rating: An aggregate rating for the city, derived from surveys conducted on various travel platforms. The rating reflects the overall popularity, quality of tourist experience, and visitor satisfaction. About the City: A brief description of the city, highlighting its cultural, historical, or natural significance. This includes information on key attractions, local culture, and why it's a must-visit destination. Best Time to Visit: The recommended period or season to visit the city for the best tourist experience. This could be based on weather conditions, local festivals, or other seasonal factors that enhance the travel experience. Source of Data The ratings are based on aggregated data from well-known travel platforms such as:

MakeMyTrip Holidify TripAdvisor Other travel blogs and survey websites Potential Use Cases Travel Recommendations: Use the dataset to build travel recommendation systems or itinerary planning tools for tourists. Tourism Analysis: Analyze tourism trends, popular destinations, and visitor preferences across different regions of India. Sentiment Analysis: Combine this dataset with reviews and feedback from tourists to perform sentiment analysis and gain deeper insights into visitor experiences. Seasonal Trends: Study the impact of seasonal variations on tourism by analyzing the 'Best Time to Visit' column. Data Visualization: Create visual dashboards showcasing top-rated destinations, best times to visit, and key attractions for each city. Additional Information Data Format: CSV Total Records: 100 rows (one for each city/region) Data Refresh: This dataset can be periodically updated with more recent ratings and information as new data becomes available from travel platforms. Acknowledgments Special thanks to the platforms MakeMyTrip, Holidify, and other travel resources for providing the ratings and information used to compile this dataset. This dataset aims to promote travel and tourism in India by providing valuable insights into popular tourist destinations.

According to the 2011 census, the population density in the Indian state of Maharashtra was *** individuals per square kilometer. Located on the Deccan Plateau, it is the second-most populous state in the country. A steady increase in the population of the state can be attributed to growing urban districts such as Mumbai and Pune, with diverse employment opportunities in several sectors.

India's economic powerhouse

With a contribution of over ** trillion Indian rupees in the financial year 2017, the state of Maharashtra had the highest gross state domestic product in the country. A per capita income of over *** thousand Indian rupees was estimated across the state for the preceding year. Based on its economic model, the state was a highly preferred destination for domestic and foreign investments.

The most populous Indian state

Mumbai, the capital city of Maharashtra, was the most populous city after Delhi. As the country's economic core, it serves as the financial and commercial capital while providing numerous job opportunities. Many are attracted to this dream city in search of a lucrative career and to make it big in the world-famous Bollywood film industry.

As of 2025, Tokyo-Yokohama in Japan was the largest world urban agglomeration, with 37 million people living there. Delhi ranked second with more than 34 million, with Shanghai in third with more than 30 million inhabitants.

This statistic shows the projected population of the largest urban agglomerations worldwide in 2035. In that year, the population of the New York-Newark agglomeration in the United States is projected to be **** million people.

As of 2024, Mumbai had a gross domestic product of *** billion U.S. dollars, the highest among other major cities in India. It was followed by Delhi with a GDP of around *** billion U.S. dollars. India’s megacities also boast the highest GDP among other cities in the country. What drives the GDP of India’s megacities? Mumbai is the financial capital of the country, and its GDP growth is primarily fueled by the financial services sector, port-based trade, and the Hindi film industry or Bollywood. Delhi in addition to being the political hub hosts a significant services sector. The satellite cities of Noida and Gurugram amplify the city's economic status. The southern cities of Bengaluru and Chennai have emerged as IT and manufacturing hubs respectively. Hyderabad is a significant player in the pharma and IT industries. Lastly, the western city of Ahmedabad, in addition to its strategic location and ports, is powered by the textile, chemicals, and machinery sectors. Does GDP equal to quality of life? Cities propelling economic growth and generating a major share of GDP is a global phenomenon, as in the case of Tokyo, Shanghai, New York, and others. However, the GDP, which measures the market value of all final goods and services produced in a region, does not always translate to a rise in quality of life. Five of India’s megacities featured in the Global Livability Index, with low ranks among global peers. The Index was based on indicators such as healthcare, political stability, environment and culture, infrastructure, and others.

Smart City Display Market Outlook

According to our latest research, the Global Smart City Display market size was valued at $7.8 billion in 2024 and is projected to reach $23.6 billion by 2033, expanding at a robust CAGR of 13.1% during the forecast period of 2024–2033. The primary driver behind this remarkable growth is the increasing adoption of digital transformation initiatives by urban governments and municipalities worldwide, aiming to enhance citizen engagement, optimize urban mobility, and improve public safety through intelligent display solutions. As cities continue to evolve into interconnected hubs of technology, the deployment of smart city displays is becoming an essential component of urban infrastructure, supporting real-time information dissemination, emergency communications, and efficient management of public services. The convergence of IoT, AI, and advanced display technologies has further accelerated the demand for interactive and dynamic display solutions, setting the stage for substantial market expansion over the next decade.

Regional Outlook

North America currently holds the largest share of the Smart City Display market, accounting for over 36% of global revenue in 2024. This dominance is attributed to the region’s mature technology ecosystem, early adoption of smart infrastructure, and significant investments by both public and private sectors in smart city projects. The United States, in particular, is at the forefront, with major metropolitan areas such as New York, Los Angeles, and Chicago deploying advanced digital signage, interactive kiosks, and public information displays to improve urban living experiences. Supportive government policies, robust funding, and the presence of leading technology providers have fostered a highly competitive and innovative market landscape. Moreover, the proliferation of 5G connectivity and the integration of AI-driven analytics into city management platforms have further propelled the deployment of smart city displays across North America.

Asia Pacific is emerging as the fastest-growing region in the Smart City Display market, with a projected CAGR of 16.5% from 2024 to 2033. Rapid urbanization, rising disposable incomes, and ambitious government-led smart city initiatives in countries such as China, India, South Korea, and Singapore are key factors fueling this growth. The Chinese government’s focus on building over 500 smart cities and India’s Smart Cities Mission, which aims to transform 100 cities, are driving massive investments in digital infrastructure, including advanced display technologies. Additionally, the region’s vibrant technology manufacturing sector and increasing public-private partnerships are accelerating the rollout of innovative display solutions for transportation, public safety, and urban management. The demand for high-resolution, energy-efficient displays is particularly strong in densely populated urban centers, where real-time information dissemination and crowd management are critical.

Emerging economies in Latin America, the Middle East, and Africa are also witnessing increased adoption of smart city display solutions, albeit at a more gradual pace due to infrastructural and policy challenges. In these regions, localized demand is primarily driven by efforts to modernize public transportation, enhance public safety, and improve access to government services. However, limited budgets, inconsistent regulatory frameworks, and challenges related to digital literacy and connectivity continue to hinder large-scale deployments. Despite these obstacles, international collaborations, donor funding, and the gradual rollout of 4G and 5G networks are expected to create new opportunities for market players, particularly in major urban centers such as São Paulo, Dubai, and Johannesburg, where smart city initiatives are gaining traction.

Report Scope

Members of the scientific community and the general public are raising concerns about the potential health and environmental effects of radio-frequency electromagnetic fields (RF-EMF) for those living nearby mobile phone base stations (MPBS). This study examined the impact of RF-EMF (900–1900 MHz) on symptoms spanning four health categories: mood-energy, cognitive-sensory, inflammatory, and anatomical issues. A questionnaire identifying health symptoms within these categories, was given to 183 highly exposed and 126 reference residents, matched on demographics. While years of residing near the MPBS influenced the prevalence of some symptoms, proximity to the base station and higher levels of exposure (measured using power density) influenced the prevalence of many of the symptoms. A higher proportion of symptoms was found in residents who were either living within 50 meters of a MPBS or who were exposed to power densities of 5–8 mW/m2, for all four health categories. This relationship between exposure level and symptom prevalence was further influenced by age, daily mobile phone use (over 5 h per day), and lifestyle factors, for certain symptoms. Hierarchical regression analysis revealed that level of exposure (power density) was the only factor contributing to the number of symptoms experienced by residents, for all four health categories. An unexpected finding was that among the more highly exposed residents, the younger individuals (under 40 years) reported more inflammation related issues than older individuals. These results underscore the need to inform policymakers regarding the benefits of adopting a precautionary approach to potential risks associated with RF-EMF exposures from MPBS. Investigating the health effects of man-made electromagnetic fields (RF-EMF) created by telecommunications signals from mobile phone base stations is relevant to people living in cities across the world today. The study was conducted in a hilly, highly populated city in Mizoram, India, where many people live close to and in line of sight of the masts on telecommunications towers. A survey was given to residents in their homes, asking about what health symptoms they were experiencing across a range of health categories (mood-energy, cognitive-sensory, inflammatory, and anatomical). At the same time, the level of RF-EMF in their lounge room was measured. The symptoms reported by people living closer to mobile phone base stations (less than 300 m) were compared with those from people living further away (more than 400 m). More people who lived closer to base stations reported health symptoms in all of the health categories investigated. Relatively fewer people who lived further away reported symptoms. Other factors such as age, high mobile phone use (more than 5 h/day) and smoking and drinking also influenced this outcome, for some of the symptoms. The most significant contributor to the number of symptoms reported by residents was the strength of RF-EMF to which they were exposed in their home. A surprising result was that younger people up to 40 years old showed more inflammatory conditions that were related to higher exposures than older people (such as headache, allergy and chest pain). These health effects of RF-EMF should be heeded by those responsible for the installation of mobile phone base stations in cities.