Dataset Card for Dataset Name

Includes Images for different Indian Cities.

  Dataset Details

Each city has 2500 images

  Dataset Description

This dataset contains 2500 images per Cities of popular indian Cities, City included are Ahmendabad, Mumbai, Delhi, Koklakta and A state Kerala.

Curated by: Divax Shah and Team

  Dataset Sources

Google

Demo: here

arXiv : https://arxiv.org/abs/2403.10912

The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.

This dataset is about countries per year in India. It has 64 rows. It features 4 columns: country, capital city, and urban land area.

About this dataset

Context

The dataset tabulates the population of Columbia City by race. It includes the population of Columbia City across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Columbia City across relevant racial categories.

Key observations

The percent distribution of Columbia City population by race (across all racial categories recognized by the U.S. Census Bureau): 92.54% are white, 0.39% are Black or African American, 0.37% are American Indian and Alaska Native, 1% are some other race and 5.70% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Columbia City
• Population: The population of the racial category (excluding ethnicity) in the Columbia City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Columbia City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Columbia City Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Kansas City by race. It includes the population of Kansas City across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Kansas City across relevant racial categories.

Key observations

The percent distribution of Kansas City population by race (across all racial categories recognized by the U.S. Census Bureau): 59.04% are white, 26.24% are Black or African American, 0.41% are American Indian and Alaska Native, 2.67% are Asian, 0.24% are Native Hawaiian and other Pacific Islander, 3.97% are some other race and 7.43% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Kansas City
• Population: The population of the racial category (excluding ethnicity) in the Kansas City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Kansas City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Kansas City Population by Race & Ethnicity. You can refer the same here

The table provides the figures for capital outlay for the different states in Rs.Billion from 1980-81 to 2016-17(B.E.)

The dataset pertains to the details of capital expenditure for all states taken together. The time period covered is from 1990-91(A) to 2009-10 (BE).

Our India zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

India recorded a capital and financial account deficit of 81 USD Million in the first quarter of 2025. This dataset provides - India Capital Flows- actual values, historical data, forecast, chart, statistics, economic calendar and news.

India All States: Capital Expenditures: Plan data was reported at 4,338,480.200 INR mn in 2017. This records an increase from the previous number of 4,178,258.900 INR mn for 2016. India All States: Capital Expenditures: Plan data is updated yearly, averaging 481,333.300 INR mn from Mar 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 4,338,480.200 INR mn in 2017 and a record low of 130,522.400 INR mn in 1991. India All States: Capital Expenditures: Plan data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Government and Public Finance – Table IN.FJ001: State Finances: Capital Expenditure: All States and Union Territories.

This dataset is about countries per year in India. It has 64 rows. It features 4 columns: country, capital city, and unemployment.

About this dataset

Context

The dataset tabulates the population of Jersey City by race. It includes the population of Jersey City across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Jersey City across relevant racial categories.

Key observations

The percent distribution of Jersey City population by race (across all racial categories recognized by the U.S. Census Bureau): 30.49% are white, 21.52% are Black or African American, 0.59% are American Indian and Alaska Native, 25.78% are Asian, 0.01% are Native Hawaiian and other Pacific Islander, 9.41% are some other race and 12.21% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Jersey City
• Population: The population of the racial category (excluding ethnicity) in the Jersey City is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Jersey City total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Jersey City Population by Race & Ethnicity. You can refer the same here

Imports of Capital Goods in India increased to 273188.40 INR Million in August from 255295.80 INR Million in July of 2014. This dataset includes a chart with historical data for India Imports of Capital Goods.

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

Analysis of ‘Swiggy Restaurants Dataset of Metro Cities’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/aniruddhapa/swiggy-restaurants-dataset-of-metro-cities on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

This dataset contains swiggy registered restaurants details of major metropoliton cities of India. I have considered only metropoliton cities with population 4.5 million. As per the Census of India 2011 definition of more than 4 million population, some of the major Metropolitan Cities in India are:

Mumbai (more than 18 Million) Delhi (more than 16 Million) Kolkata (more than 14 Million) Chennai (more than 8.6 million) Bangalore (around 8.5 million) Hyderabad (around 7.6 million) Ahmedabad (around 6.3 million) Pune (around 5.05 million) Surat (around 4.5 million)

Content

I have scrapped the data using python. It may not have all the restaurants of a particular city because if during webscrapping any restaurant has not enabled swiggy as their delivery partner, that restaurant's details will not be scrapped. Though I have scrapped same cities multiple times, to include maximum restaurant details. The data is collected on 12th Jan 2022.

Acknowledgements

Thank you swiggy for the dataset.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

--- Original source retains full ownership of the source dataset ---

Chennai Municipal Corporation: Capital Advances Organization Chennai Municipal Corporation Budget Budget of Chennai Municipal Corporation gives the receipts and expenditures of the civic body that governs the city of Chennai. It contains department-wise, zone-wise and... read more Social Google+ Twitter Facebook License Creative Commons Attribution Dataset Description Chennai Municipal Corporation: Capital Advances

Comprehensive dataset of 13 Indian grocery stores in Metropolitan City of Rome Capital, Italy as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Greater Hyderabad Municipal Corporation: Capital Expenditure

Imports of Capital Goods CMLV in India increased to 3310916.01 INR Million in March from 2909801.67 INR Million in February of 2014. This dataset includes a chart with historical data for India Imports of Capital Goods CMLV.

Famous Temples Of India

A list of new and ancient temples in India. This list contains - temple name - temple description - location - location co-ordinates - distance from Mumbai - distance from New Delhi - distance from Chennai - distance from Kolkata

Note: Regarding the distance, I only chose the top 4 metro cities (by population) in India. Please feel free to add any other city of your choice.