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.

Population in largest city in India was reported at 33807403 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Population in the largest city (% of urban population) in India was reported at 6.3201 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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.

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.

The demand for commercial real estate space in top seven cities in India stood at ** million square feet as of 2023. It was the same as previous year.

The "Indian IT Cities Used Car Dataset 2023" is a comprehensive collection of data that offers valuable insights into the used car market across major Information Technology (IT) cities in India. This dataset provides a wealth of information on a wide range of used car listings, encompassing details such as car models, variants, pricing, fuel types, dealer locations, warranty information, colors, kilometers driven, body styles, transmission types, ownership history, manufacture dates, model years, dealer names, CNG kit availability, and quality scores.

Researchers, data enthusiasts, and industry professionals can leverage this dataset for in-depth analysis, market research, and predictive modeling within the Indian used car sector, focusing on the unique dynamics of IT-driven cities. With data sourced from the year 2023, this dataset is a valuable resource for anyone seeking to explore the nuances of the used car market within the thriving IT hubs of India.

As of September 2024, 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.

The report covers India Intra-city Logistics Companies and it is segmented by Service (Transportation, Warehousing and Distribution, and Value-added Services) and by City (Delhi, Bangalore, Mumbai, Hyderabad, Chennai, and Others). The market size and forecasts for the India intra-city logistics market in value (USD billion) for all the above segments.

The Housing Price Index in India is a statistical measure designed to reflect the changes in housing prices across various regions. It is calculated by the Reserve Bank of India (RBI) using data from housing transactions, which include registration documents and mortgage data from banks and housing finance companies. The HPI is constructed using a base year, and the price levels of that base year are set at 100. Changes in the index from the base year reflect how housing prices have increased or decreased. The Reserve Bank compiles quarterly house price index (HPI) (base: 2010-11=100) for ten major cities, viz., Mumbai, Delhi, Chennai, Kolkata, Bengaluru, Lucknow, Ahmedabad, Jaipur, Kanpur and Kochi. Based on these city indices, the average house price index represents all of India's house price movements. The Housing Price Index (HPI) is a critical economic indicator that measures the changes in residential housing prices over time. In India, the HPI is an essential tool used by policymakers, economists, real estate developers, investors, and homebuyers to gauge the trends in the real estate market. The HPI helps track the inflation or deflation in the housing market, thus providing insights into the economy's overall health.

About this dataset

Context

The dataset tabulates the median household income in Indian Village. It can be utilized to understand the trend in median household income and to analyze the income distribution in Indian Village by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Indian Village, IN Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Indian Village, IN: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Indian Village, IN
• Indian Village, IN households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Indian Village median household income. You can refer the same here

Smart City Market Outlook

The global smart city market size was estimated at $500 billion in 2023 and is projected to reach $3 trillion by 2032, growing at a compound annual growth rate (CAGR) of 23%. This remarkable growth is driven by rapid urbanization, technological advancements, and increasing government initiatives aimed at sustainable development. The convergence of IoT, AI, and data analytics is playing a pivotal role in transforming urban landscapes into interconnected, efficient ecosystems.

One of the primary growth factors of the smart city market is the accelerated pace of urbanization. With more than half of the world’s population now residing in urban areas, cities face increasing pressure to improve infrastructure and services. Smart city technologies offer solutions for efficient resource management, enhanced public safety, and improved quality of life. The need for effective urban planning and sustainable development is pushing governments to adopt smart city initiatives at an unprecedented rate.

Advancements in technology, particularly in IoT, AI, and big data, are significantly contributing to the smart city market's expansion. IoT sensors and devices facilitate real-time data collection, enabling cities to monitor and manage resources such as water, electricity, and waste more efficiently. AI and data analytics are used to interpret this data, providing actionable insights that help in optimizing urban operations, reducing costs, and enhancing citizen services. The integration of these technologies is creating a symbiotic relationship between the digital and physical worlds, driving the evolution of smart cities.

Government support and initiatives are also major catalysts for the growth of the smart city market. Various governments around the world are investing heavily in smart city projects to address urban challenges such as traffic congestion, pollution, and energy consumption. For instance, the European Union has earmarked substantial funding for smart city projects under its Horizon 2020 program. Similarly, countries like China and India have launched extensive smart city missions aimed at transforming urban areas into technologically advanced, sustainable habitats.

Regionally, North America and Europe are leading the smart city market, owing to their advanced technological infrastructure and significant government investments. However, Asia Pacific is expected to exhibit the highest growth rate during the forecast period. Rapid urbanization, coupled with increasing government initiatives in countries like China, India, and Japan, is driving the smart city market in this region. Latin America and the Middle East & Africa are also showing promising growth, supported by improving economic conditions and increasing focus on sustainable development.

Component Analysis

The smart city market is segmented into three primary components: hardware, software, and services. Each of these components plays a crucial role in enabling and enhancing the various functionalities of a smart city. Hardware components include sensors, smart meters, and communication devices, among others. These devices are essential for collecting real-time data from various urban environments, which is then used to monitor and manage city operations.

Software solutions are integral to the smart city market as they provide the platforms and applications needed to analyze and interpret the data collected by hardware devices. These software solutions enable various functions such as traffic management, energy management, and public safety. They also offer predictive analytics capabilities, which help city administrators anticipate and mitigate potential issues before they escalate. The increasing complexity and volume of data generated by smart cities necessitate robust software solutions to manage and analyze this data effectively.

Services are another critical component of the smart city market. These include consulting services, system integration, and managed services, which are essential for the successful implementation and operation of smart city projects. Consulting services help cities identify their specific needs and design customized smart city solutions. System integration services ensure that various hardware and software components work seamlessly together, while managed services provide ongoing support and maintenance to ensure the smooth functioning of smart city systems.

The hardware segment is expected to account for a significant share of the smart city market, driv

India Census: Number of Households: Urban: by Size: 4 Members data was reported at 20,796,001.000 Unit in 2011. This records an increase from the previous number of 12,039,265.000 Unit for 2001. India Census: Number of Households: Urban: by Size: 4 Members data is updated yearly, averaging 16,417,633.000 Unit from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 20,796,001.000 Unit in 2011 and a record low of 12,039,265.000 Unit in 2001. India Census: Number of Households: Urban: by Size: 4 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF003: Census: Number of Households: by Size.

India Census: Number of Households: Rajasthan: Urban: by Size: 4 Members data was reported at 656,495.000 Unit in 2011. India Census: Number of Households: Rajasthan: Urban: by Size: 4 Members data is updated yearly, averaging 656,495.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: Rajasthan: Urban: by Size: 4 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF032: Census: Number of Households: by Size: Rajasthan.

India Census: Number of Households: Uttar Pradesh: Urban: by Size: 5 Members data was reported at 1,369,723.000 Unit in 2011. India Census: Number of Households: Uttar Pradesh: Urban: by Size: 5 Members data is updated yearly, averaging 1,369,723.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: Uttar Pradesh: Urban: by Size: 5 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF036: Census: Number of Households: by Size: Uttar Pradesh.

India Census: Number of Households: Urban: by Size: 2 Members data was reported at 7,528,094.000 Unit in 2011. This records an increase from the previous number of 4,421,879.000 Unit for 2001. India Census: Number of Households: Urban: by Size: 2 Members data is updated yearly, averaging 5,974,986.500 Unit from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 7,528,094.000 Unit in 2011 and a record low of 4,421,879.000 Unit in 2001. India Census: Number of Households: Urban: by Size: 2 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF003: Census: Number of Households: by Size.

India Census: Number of Households: Urban: by Size: 3 Members data was reported at 12,553,694.000 Unit in 2011. This records an increase from the previous number of 6,831,825.000 Unit for 2001. India Census: Number of Households: Urban: by Size: 3 Members data is updated yearly, averaging 9,692,759.500 Unit from Mar 2001 (Median) to 2011, with 2 observations. The data reached an all-time high of 12,553,694.000 Unit in 2011 and a record low of 6,831,825.000 Unit in 2001. India Census: Number of Households: Urban: by Size: 3 Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF003: Census: Number of Households: by Size.

In India, the share of the population that earned at least the equivalent of the highest 10 percent of global income earners as of 2022 in purchasing power parity (PPP) terms was *** percent. Hyderabad topped the list with the highest share of the upper or high-class category consumers, at over ** percent. Cities from south India topped the list with the first four ranks, followed by the national capital, Delhi.

India Census: Number of Households: West Bengal: Urban: by Size: 6 and More Members data was reported at 1,360,222.000 Unit in 2011. India Census: Number of Households: West Bengal: Urban: by Size: 6 and More Members data is updated yearly, averaging 1,360,222.000 Unit from Mar 2011 (Median) to 2011, with 1 observations. India Census: Number of Households: West Bengal: Urban: by Size: 6 and More Members data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAF038: Census: Number of Households: by Size: West Bengal.

The India intra-city logistics market is experiencing robust growth, fueled by the burgeoning e-commerce sector, rapid urbanization, and increasing demand for faster and more efficient delivery services. With a Compound Annual Growth Rate (CAGR) exceeding 5%, the market, valued at approximately $XX million in 2025 (estimated based on provided data and industry trends), is projected to reach a significant size by 2033. Key drivers include the expansion of online retail, the rise of quick commerce models (e.g., 10-minute delivery), and the growing adoption of technology-driven solutions such as route optimization software and real-time tracking systems. The market is segmented geographically, with major cities like Delhi, Mumbai, Bangalore, Hyderabad, and Chennai accounting for a substantial share of the market volume. Furthermore, service offerings encompass transportation, warehousing and distribution, and value-added services like last-mile delivery and reverse logistics. The competitive landscape is dynamic, with established players like DTDC and Ecom Express coexisting with innovative startups like CityXfer and Porter, highlighting the market's attractiveness to both established logistics firms and emerging technology-driven businesses. The market's expansion is also shaped by several trends, including the increasing adoption of electric vehicles for last-mile delivery to reduce carbon footprint and meet sustainable goals. The integration of advanced technologies like AI and machine learning for improved route planning and predictive analytics is streamlining operations and enhancing efficiency. However, challenges remain, such as infrastructure limitations in certain areas, regulatory hurdles, and fluctuating fuel prices, which can impact overall costs and operational efficiency. Despite these restraints, the long-term outlook for the India intra-city logistics market remains positive, driven by consistent growth in e-commerce and the ongoing modernization of the logistics infrastructure. The market's success will hinge on the ability of logistics providers to adapt to changing consumer demands and leverage technology to improve service quality, reduce costs and maintain a competitive edge. This comprehensive report provides a detailed analysis of the burgeoning India intra-city logistics market, offering invaluable insights for businesses, investors, and policymakers. The study period covers 2019-2033, with 2025 serving as the base and estimated year. We delve into market size, segmentation, key players, growth drivers, challenges, and future trends, focusing on crucial aspects like last-mile delivery, warehousing, and e-commerce logistics. The report utilizes data from the historical period (2019-2024) and projects the market's trajectory up to 2033. This analysis encompasses key cities like Delhi, Mumbai, Bangalore, Hyderabad, and Chennai, among others. Recent developments include: November 2022 - Mahindra Logistics acquired delivery services provider Whizzard. Mahindra Logistic's current last-mile delivery business and its electric vehicle-based delivery services would be enhanced by the acquisition., July 2022 - Bengaluru-based COGOS Technologies has acquired logistics startup Porter's FMCG modern trade business. This acquisition will strengthen COGOS' platform and allow it to meet the demand for municipal logistics.. Key drivers for this market are: Industrial Growth Supporting the Market, Global Trade Driving the Market. Potential restraints include: Compliance Challenges Affecting the Market, Limited Infrastructure Inhibiting the Market. Notable trends are: Growing Demand for Intra-city Logistics from Tier-2 and Tier- 3 Cities.