As of the year 2024, the population of the capital city of India, Delhi was over ** million people. This was a 2.63 percent growth from last year. The historical trends show that the population doubled between 1990 and 2010. The UN estimated that the population was expected to reach around ** million by 2030. Reasons for population growth   As per the Delhi Economic Survey, migration added over *** thousand people to Delhi’s population in 2022. The estimates showed relative stability in natural population growth for a long time before the pandemic. The numbers suggest a sharp decrease in birth rates from 2020 onwards and a corresponding increase in death rates in 2021 due to the Covid-19 pandemic. The net natural addition or the remaining growth is attributed to migration. These estimates are based on trends published by the Civil Registration System. National Capital Region (NCR) Usually, population estimates for Delhi represent the urban agglomeration of Delhi, which includes Delhi and some of its adjacent suburban areas. The National Capital Region or NCR is one of the largest urban agglomerations in the world. It is an example of inter-state regional planning and development, centred around the National Capital Territory of Delhi, and covering certain districts of neighbouring states Haryana, Uttar Pradesh, and Rajasthan. Noida, Gurugram, and Ghaziabad are some of the key cities of NCR. Over the past decade, NCR has emerged as a key economic centre in India.

📊 Delhi Metro Ridership & Operational Statistics Dataset

Subtitle

A comprehensive dataset representing ridership, ticket revenue, and operational performance of the Delhi Metro one of the largest urban transit systems in the world.

About the Dataset

The Delhi Metro is a rapid transit system serving the National Capital Region (NCR) of India. It plays a crucial role in reducing traffic congestion and providing sustainable public transportation to millions of passengers every day.

This dataset captures multiple performance indicators of the Delhi Metro network over time, including:

Total metro trips operated Daily total passengers Ticket revenue Average passenger distance traveled per trip Top stations based on passenger demand Total stations operational

These data points help in analyzing metro usage patterns, operational efficiency, and transit demand in the region.

Why This Dataset is Useful

This dataset enables research in:

Urban transport planning Revenue & demand forecasting Passenger travel behavior analysis Transportation infrastructure optimization Dashboard development & data storytelling Academic machine learning projects

Potential Use Cases

• Time-series forecasting of passengers and revenue
• Peak-hour identification using station-based data
• Policy evaluation on fare changes and new lines
• Visualization dashboards (e.g., Plotly/Dash, Power BI, Tableau)

Source

Data has been collected, cleaned, and aggregated using publicly available metro operational insights, news reports, and transit performance summaries released by the Delhi Metro Rail Corporation (DMRC).

File Details

(Adjust fields based on your actual dataset columns — I can refine if you share final structure.)

Licensing

License: CC BY 4.0 (Users must provide attribution when using the dataset)

If you want, I can also add:

Thumbnail Image for Kaggle Dataset Tags & Categories for better discoverability Example Notebooks (Exploration + Forecast models) Dashboard Preview Screenshots

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

The National Capital Territory of Delhi within the National Capital Region was estimated to be ** percent urban in 2011. However, the Central National Capital Region (CNCR) Periphery witnessed the highest increase in urban population from ** percent in 1991 to ** percent in 2011.

As of 2011, the total estimated area under Delhi-National Capital Region was approximately ** thousand square kilometers. The state of Haryana had the largest area within NCR whereas Delhi occupied the smallest area. NCR is an urban agglomeration centered around the national capital territory of Delhi and includes certain districts of neighboring states of Haryana, Rajasthan, and Uttar Pradesh.

This DataSet is downloaded from the Website https://statso.io/metro-network-analysis-case-study/

Metro Network Analysis involves the application of data science techniques to understand and interpret the characteristics and dynamics of metro systems.

The provided dataset contains detailed information about the Delhi Metro network, one of the largest and busiest urban transit systems in the world. Key features of the dataset include:

Station Information: Names and IDs of metro stations. Geographical Coordinates: Latitude and longitude of each station. Line Information: The specific metro line each station belongs to. Distance Data: The distance of each station from the start of its line. Station Layout: Type of station layout (e.g., Elevated, Underground, At-Grade). Opening Date: Date of inauguration of each station

Population projection for National Capital Region (NCR) in India during 2021 was estimated to be more than ** million people. The National Capital Territory of Delhi accounted for around ** million people. The total population of NCR was estimated to reach around ** million by 2031. NCR is an urban agglomeration centered around the national capital territory of Delhi and includes certain districts of neighboring states of Haryana, Rajasthan, and Uttar Pradesh. A recent categorization of this region into three categories has been devised which divides the region into Core National Capital Territory of Delhi, Central National Capital Region (CNCR) Periphery including districts close to the core, and lastly, the rest of the NCR region.

Delhi Metro Stations Data
This dataset falls under the category Public Transport On Demand PT.
It contains the following data: In this version, there is only one CSV file. DELHIMETRODATA.csv - Contains 4 columns. Station - List of Stations under DMRC(Delhi Metro Rail Corporation) ; Line - It contains unique Color of the Metro Line which pass through this station. For Stations with more than one Rail pass, the Color is chosen which occurs first in the source Wikipedia webpage. ; Latitude - Contains the respective Latitude value. ; Longitude - Contains the respective Longitude value.
This dataset was scouted on 2022-02-05 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.kaggle.com/kunalgupta2616/delhi-metro-stations-data

Updated Data Card for Kaggle

Delhi Metro Lost and Found Items (Dec 2021 - Mar 2024)

This dataset contains information about items lost and found in the Delhi Metro Rail Corporation (DMRC) network between December 2021 and March 2024. It includes details such as:

• item_name: The name of the item lost (e.g., Pen, Phone, Laptop)
• description: A brief description of the item (e.g., Blue, new iPhone 13) - Note that many descriptions are missing
• item_quantity: The quantity of the item lost (e.g., 1, but many quantities are missing)
• station_name: The name of the metro station where the item was lost
• receiving_date: The date the item was received by the lost and found department
• receiving_time: The time the item was received by the lost and found department

Data Characteristics:

• The dataset contains 13,713 rows (observations) and 6 columns (features)
• Several columns have missing values: description (39%), item_quantity (77%)

Potential Uses:

This dataset could be useful for understanding what kind of items are commonly lost in the Delhi Metro, and at which stations. It could also be used to develop machine learning models to predict which items are more likely to be claimed by their owners.

Additional Information:

• The data was collected from the Delhi Metro Rail Corporation (DMRC).
• The data provides a sample of lost and found items between December 2021 and March 2024.

Example Rows:

Thumbnail photo by Kaif on Unsplash

1. ID (Station ID):

   • Description: Unique identifier for each metro station in the dataset.

2. Station Name:

   • Description: The name of the metro station.

3. Distance from First Station (Distance in km):

   • Description: The distance of the station from the first station on the metro line, measured in kilometers.

4. Metro Line:

   • Description: The specific metro line to which the station belongs.

5. Opened (Year):

   • Description: The year in which the metro station was opened for public use.

6. Layout:

   • Description: The layout or design of the station (underground, elevated, ground-level, etc.).

7. Latitude:

   • Description: The geographic latitude coordinate of the metro station.

8. Longitude:

   • Description: The geographic longitude coordinate of the metro station.

In financial year 2023, more than *** million passenger journeys took place in metro in Delhi daily. They were a huge increase in comparison with the previous year. The huge decrease in 2021 was due to the impact of the Covid-19 pandemic. Delhi was one of the most congested cities in the world. Several new metro routes were under construction, and the government was planning to invest more in the public transport section, which would increase passenger traffic and improve the traffic congestion.

Measurements of Volatile organic compounds (VOCs) were conducted using PTR-TOF-MS 8000 instruments at an urban and suburban sites of New Delhi from January 10 to March 07, 2018.

In the financial year 2023, the length of operational metro rail in Delhi, India, was ****** kilometers. This represented an enlargement of the overall operational rail network in the city compared to 2014, when its total length was approximately *** kilometers.

Total Fertility Rate: Delhi: Urban data was reported at 1.400 NA in 2020. This records a decrease from the previous number of 1.500 NA for 2019. Total Fertility Rate: Delhi: Urban data is updated yearly, averaging 1.750 NA from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 2.100 NA in 2006 and a record low of 1.400 NA in 2020. Total Fertility Rate: Delhi: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH006: Vital Statistics: Total Fertility Rate.

Census: Population: City: Delhi data was reported at 16,368.899 Person th in 03-01-2011. This records an increase from the previous number of 12,791.000 Person th for 03-01-2001. Census: Population: City: Delhi data is updated decadal, averaging 12,791.000 Person th from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 16,368.899 Person th in 03-01-2011 and a record low of 8,419.000 Person th in 03-01-1991. Census: Population: City: Delhi data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB004: Census: Population: by Selected Cities.

Vital Statistics: Birth Rate: per 1000 Population: Delhi: Urban data was reported at 14.100 NA in 2020. This records a decrease from the previous number of 14.400 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Delhi: Urban data is updated yearly, averaging 17.500 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 20.300 NA in 1999 and a record low of 14.100 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Delhi: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Vital Statistics: Natural Growth Rate: per 1000 Population: Delhi: Urban data was reported at 10.600 NA in 2020. This records a decrease from the previous number of 11.200 NA for 2019. Vital Statistics: Natural Growth Rate: per 1000 Population: Delhi: Urban data is updated yearly, averaging 13.100 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 15.400 NA in 1999 and a record low of 10.600 NA in 2020. Vital Statistics: Natural Growth Rate: per 1000 Population: Delhi: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH004: Vital Statistics: Natural Growth Rate: by States.

This dataset contains simulated daily records representing environmental and urban conditions in New Delhi, India, for the fourth quarter of 2025 (October to December). It is designed to model the complex relationship between seasonal weather changes, traffic congestion, and various pollution metrics (Air, Water, and Noise).

This is a synthetic dataset generated for educational, testing, and predictive modeling purposes. It serves as an excellent resource for beginners and intermediate data scientists to practice time-series forecasting, regression analysis, and multivariate correlation studies without the noise often found in raw sensor data.

Key Features

Temporal Coverage: Daily records from Oct 1, 2025, to Dec 31, 2025.

Multi-Domain Metrics: Combines meteorological data (Temperature, Humidity) with urban stressors (Traffic, Noise) and environmental quality indicators (AQI, Water Quality).

Column Descriptors

City: Location of data collection (Fixed: Delhi).

Date: Daily timestamp (DD-MM-YYYY).

Average Temperature (°C): Daily mean temperature.

Humidity (%): Relative humidity levels.

Air Quality Index (AQI): Overall measure of air pollution.

Water Quality Index (WQI): A score representing the safety/cleanliness of local water bodies.

Noise Level (dB): Average decibel levels recorded in urban zones.

Traffic Congestion Index: A normalized score (0-100) indicating traffic density.

Recommended Use Cases

Regression Analysis: Predict AQI based on Traffic Congestion and Humidity.

Time Series Forecasting: Forecast environmental trends for late December based on October/November data.

Data Visualization: Create heatmaps to visualize the correlation between Noise Levels and Traffic patterns.

Census: Population: Delhi: Delhi data was reported at 16,368,899.000 Person in 03-01-2011. This records an increase from the previous number of 12,877,470.000 Person for 03-01-2001. Census: Population: Delhi: Delhi data is updated decadal, averaging 1,898,271.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 16,368,899.000 Person in 03-01-2011 and a record low of 214,115.000 Person in 03-01-1901. Census: Population: Delhi: Delhi data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC026: Census: Population: By Towns and Urban Agglomerations: NCT of Delhi.

Census: Population: Delhi: Delhi: Female data was reported at 7,607,894.000 Person in 03-01-2011. This records an increase from the previous number of 5,808,099.000 Person for 03-01-2001. Census: Population: Delhi: Delhi: Female data is updated decadal, averaging 824,862.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 7,607,894.000 Person in 03-01-2011 and a record low of 96,243.000 Person in 03-01-1901. Census: Population: Delhi: Delhi: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC026: Census: Population: By Towns and Urban Agglomerations: NCT of Delhi.