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.

This dataset contains comprehensive information on various digital infrastructure metrics for multiple Indian cities from 2019 to 2024. It includes data on household internet access, fixed and wireless broadband subscriptions, smart water and electricity meters, public transport information systems, traffic monitoring, and more. The dataset is valuable for analyzing the progress and development of smart city initiatives in India over the specified period.

In 2023, Bengaluru recorded an increase of **** percent compared to the previous year in office space transactions in India's office market. Furthermore, Chennai recorded a change of **** percent, hence, being the second highest amongst tier 1 Indian cities.

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.

The India Smart Cities Market size is valued at USD 8.13 billion in 2023, driven by market opportunities, strategic insights, and top players. Explore market segmentation, growth projection, and key trends.

Unleash the potential of location-based analysis with this dataset of Indian cities. With over 4000 entries meticulously curated with city names, states, and precise latitude and longitude coordinates, uncover valuable insights into population distribution, urban development, and more.

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.

The dataset presents an extensive overview of digital infrastructure development across various Indian cities from 2019 to 2024. This data provides critical insights into the country's journey toward becoming a digitally empowered society, emphasizing the implementation and expansion of smart city initiatives. The dataset covers key metrics such as household internet access, subscriptions to fixed and wireless broadband services, and the integration of smart technologies in essential utilities like water and electricity.

One of the focal points of the dataset is the increase in household internet access, highlighting the growing reach of digital connectivity. This metric reflects the steady progress made in extending internet services to urban populations, ensuring that more households can benefit from the internet's transformative power in education, employment, and communication. Moreover, the data tracks the growth in both fixed and wireless broadband subscriptions, allowing for an analysis of the penetration of different forms of internet access and the evolving preferences of consumers for either wired or mobile services.

Another important aspect of the dataset is the advancement of smart utility management, specifically in water and electricity. The data on smart meter installations offers insights into how Indian cities have adopted technology to better manage resources. These smart meters allow for real-time tracking of water and electricity consumption, improving efficiency, reducing wastage, and enabling both consumers and authorities to monitor and manage usage more effectively.

The dataset also captures the progress in smart public transportation systems, an essential component of any smart city initiative. Information systems providing real-time updates on public transport have become crucial for ensuring efficient urban mobility. These systems not only help commuters plan their journeys more effectively but also contribute to reducing traffic congestion and promoting the use of public transportation over private vehicles. Additionally, traffic monitoring technologies are covered in the dataset, showcasing the efforts to integrate surveillance and data analytics to manage urban traffic flows, reduce congestion, and improve overall road safety.

Furthermore, the dataset encompasses various other digital infrastructure metrics, painting a comprehensive picture of how Indian cities are evolving into smart, connected urban centers. By tracking this data over the five-year period from 2019 to 2024, stakeholders can assess the effectiveness of policy interventions, investments, and technological implementations aimed at enhancing the quality of life for urban residents.

Data file will be uploaded soon.

The dataset is developed for measuring performance across 100 cities selected under the recent Smart Cities Mission in India. The data is primarily collected from Census of India 2011 publications.

Dataset

This dataset was created by meer atif magsi

Released under Data files © Original Authors

Contents

This statistic illustrates the change in gross domestic product (GDP) per capita across India from 2014 to 2016, by city. The change in GDP per capita across Surat was approximately *** during the measured time period, which is the same as the change in GDP per capita across Bangalore.

The COVID-19 pandemic has affected severely the economic structure and health care system, among others, of India and the rest of the world. The magnitude of its aftermath is exceptionally devastating in India, with the first case reported in January 2020, and the number has risen to ~31.3 million as of July 23, 2021. India imposed a complete lockdown on March 25, which severely impacted migrant population, industrial sector, tourism industry, and overall economic growth. Herein, the impacts of lockdown and unlock phases on ambient atmospheric air quality variables have been assessed across 16 major cities of India covering the north-to-south stretch of the country. In general, all assessed air pollutants showed a substantial decrease in AQI values during the lockdown compared with the reference period (2017–2019) for almost all the reported cities across India. On an average, about 30–50% reduction in AQI has been observed for PM2.5, PM10, and CO, and maximum reduction of 40–60% of NO2 has been observed herein, while the data was average for northern, western, and southern India. SO2 and O3 showed an increase over a few cities as well as a decrease over the other cities. Maximum reduction (49%) in PM2.5 was observed over north India during the lockdown period. Furthermore, the changes in pollution levels showed a significant reduction in the first three phases of lockdown and a steady increase during subsequent phase of lockdown and unlock period. Our results show the substantial effect of lockdown on reduction in atmospheric loading of key anthropogenic pollutants due to less-to-no impact from industrial activities and vehicular emissions, and relatively clean transport of air masses from the upwind region. These results indicate that by adopting cleaner fuel technology and avoiding poor combustion activities across the urban agglomerations in India could bring down ambient levels of air pollution at least by 30%.

Historical dataset of population level and growth rate for the Bokaro Steel City, India metro area from 1950 to 2025.

DUIA includes data on the socio-economic development and amenities of 86 cities from a total of 32 countries. DUIA is based on freely and easily available data sources and built on integration protocols and codes in R scripts, making both the construction of the database as a whole and specific statistical analyses fully transparent and replicable. DUIA is constructed in three steps. First, we draw upon remote sensing derived data from the Atlas of Urban Expansion to define city boundaries as accurately and consistently as possible across the different countries. Second, we draw upon survey data stored in IPUMS (Integrated Public Use Microdata Series) to include extensive, harmonized, and disaggregated data. Third, as we especially seek to contribute to comparative research outside the West, we developed tailor-made solutions to include Indian and Chinese cities for which data were not available in IPUMS.

The India Residential Construction Market is experiencing robust growth, projected to reach $189.80 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 7.51% from 2025 to 2033. This expansion is fueled by several key drivers. A burgeoning middle class with increasing disposable incomes is driving demand for improved housing. Government initiatives promoting affordable housing and infrastructure development further stimulate the market. Urbanization, particularly in major metropolitan areas, contributes significantly to the demand for residential units. The market segments are diverse, encompassing apartments and condominiums, villas, and other housing types, with both new construction and renovation projects contributing to overall growth. Competition is intense, with established players like Puravankara, Mahindra Lifespace, Godrej Properties, and Prestige Group vying for market share alongside smaller, regional builders. While challenges remain, such as land acquisition complexities and fluctuating material costs, the overall market outlook remains positive, indicating sustained growth throughout the forecast period. The market's segmentation offers further insights. Apartments and condominiums likely dominate the market share due to their affordability and suitability for urban living. The new construction segment is expected to experience higher growth compared to renovations, driven by the increasing demand for new homes. However, renovation projects contribute significantly to the overall market, driven by factors such as improving existing properties and a desire for upgraded amenities. Regional variations are also expected, with major metropolitan areas experiencing faster growth compared to smaller cities and rural areas. The continuous evolution of construction technologies, focusing on sustainability and efficiency, will further shape the market landscape in the coming years. Strategic alliances and mergers & acquisitions are also likely to be witnessed, consolidating the market and driving innovation. This comprehensive report provides an in-depth analysis of the burgeoning India residential construction market, covering the period 2019-2033. With a base year of 2025 and an estimated year of 2025, the report offers valuable insights into market trends, driving forces, challenges, and future growth projections. The study meticulously examines various segments, including apartments and condominiums, villas, and other residential construction types, encompassing both new construction and renovation projects. This report is crucial for investors, developers, policymakers, and industry stakeholders seeking to understand the dynamics of this rapidly expanding market. Key drivers for this market are: Government Initiatives Promoting Affordable Housing, Economic Growth and Rising Disposable Incomes. Potential restraints include: Shortage of Skilled Labor, Fluctuating Construction Materials Costs. Notable trends are: Need for Affordable Housing is Driving the Market.

The India Intra-City Logistics Market Report is Segmented by Service (Transportation, Warehousing & Distribution, and More), Business Model (B2B, B2C, C2C), Delivery Speed (Same-Day, Next-Day), End-User Industry (E-Commerce Retail, Fashion & Lifestyle, Beauty & Personal Care, Home & Furniture, Consumer Electronics, Healthcare & Medical Supplies, Others), and City Tier. Market Forecasts are Provided in Terms of Value (USD).

Dataset Overview

The dataset provides a comprehensive overview of electricity consumption across various sectors in Indian cities, focusing on key metrics such as domestic, commercial, industrial, public infrastructure, and other purposes.

Components of the Dataset:

• City: This column lists the names of different cities in India for which the electricity consumption data is recorded.
• Year: Indicates the specific year to which the consumption data corresponds.
• Consumption of Electricity (in lakh units):
  • Domestic purpose: Represents the amount of electricity consumed for household usage in each city, measured in lakh units.
  • Commercial purpose: Indicates the electricity consumption for commercial activities such as businesses and offices.
  • Industry purpose: Reflects the electricity consumption attributed to industrial activities within the respective cities.
  • Public Water Work & Street Light: Denotes the electricity usage for public infrastructure like street lighting and water works.
  • Others: Encompasses any additional purposes for which electricity is consumed beyond the specified categories.
  • Total Consumption: Presents the overall electricity consumption combining all the aforementioned sectors.
• Percentage Distribution:
  • Provides the percentage distribution of electricity consumption across different purposes for specific cities or years.
  • For instance, "Nagpur" and "Varanasi" are mentioned with respective percentage distributions for certain years, indicating their share of electricity consumption across various sectors.
• Unique Values: Indicates the count of unique values present in each category, which seems to be 47 in this dataset.
• NA Values: Denotes any missing or unrecorded data, represented as "NA" in this dataset.

Insights and Implications

Overall, this dataset offers valuable insights into the electricity consumption patterns in Indian cities, facilitating analysis and decision-making processes related to energy management, urban planning, and infrastructure development. By understanding how electricity is utilized across different sectors, policymakers and stakeholders can devise strategies to promote energy efficiency, sustainability, and economic growth.

Among megacities, Hyderabad and Chennai registered a hiring growth of ** and ** percent respectively, in December 2024, as compared to the corresponding period in the previous year. Emerging cities such as Bhubaneswar and Coimbatore registered impressive hiring growth of ** and ** percent respectively.

India Online Classifieds in Tier-2 Cities market is valued at USD 2.5 billion, driven by internet penetration, e-commerce rise, and Digital India initiative, with growth in real estate and jobs segments.