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.

High Frequency Indicator: The dataset contains year-, quarter- and service-area-wise data on the teledensity in rural and urban areas of India by percentage of wireline and wireless telecom subscriptions

Teledensity refers to proportion of people per every 100 people using telephone services

The dataset contains year-, state- and city-wise (cities with over 2 million population) data on the total number and rate of suicides which have happened in India

The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

This dataset is about countries in India. It has 1 row. It features 5 columns: currency, capital city, continent, and suicide mortality rate.

Total Fertility Rate: India: Urban data was reported at 1.600 NA in 2020. This records a decrease from the previous number of 1.700 NA for 2019. Total Fertility Rate: India: Urban data is updated yearly, averaging 1.800 NA from Dec 2005 (Median) to 2020, with 16 observations. The data reached an all-time high of 2.100 NA in 2005 and a record low of 1.600 NA in 2020. Total Fertility Rate: India: 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.

Average Occupancy Hotel Rate: City: Chennai data was reported at 67.900 % in 2017. This records an increase from the previous number of 61.800 % for 2016. Average Occupancy Hotel Rate: City: Chennai data is updated yearly, averaging 65.600 % from Mar 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 78.700 % in 2007 and a record low of 58.700 % in 2000. Average Occupancy Hotel Rate: City: Chennai data remains active status in CEIC and is reported by The Federation of Hotel & Restaurant Associations of India. The data is categorized under Global Database’s India – Table IN.QHC003: Indian Hotel Industry Survey: Average Hotel Occupancy Rate: by Cities.

The IPL 2024 dataset comprises two CSV files: one detailing batting statistics and the other focusing on bowling performances. This dataset was meticulously compiled from the official IPL statistics for the 2024 season, available at .https://www.iplt20.com/stats/2024

Context and Inspiration:

The Indian Premier League (IPL) is a premier Twenty20 cricket league that attracts top talent from around the globe. The 2024 season, held from March 22 to May 26, featured ten teams competing in 74 matches across 13 cities in India. Kolkata Knight Riders clinched their third IPL title by defeating Sunrisers Hyderabad in the final.

This dataset was inspired by the need for a comprehensive and accessible compilation of player performances during the 2024 season. It serves as a valuable resource for analysts, researchers, and cricket enthusiasts aiming to delve into player statistics, team dynamics, and overall trends of the season. By providing detailed insights into batting and bowling metrics, the dataset facilitates in-depth analyses and fosters a deeper understanding of the game's intricacies during the 2024 IPL season.

Kolkata had the highest average water consumption per person across major Indian cities in 2021, at 2.31 liters per day. Bhubaneshwar followed, with an average consumption of 2.3 liters per day. The recommended amount of water intake to stay hydrated is at least two liters every day.

The dataset contains state- and region-wise NSS 78th round compiled data on Percentage of Households using Clean Energy for Cooking, Lighting and Heating

The data shows the year-wise statistics for incidence of accidental deaths in different cities of India by natural or unnatural causes between 2009 and 2015.

Note: 1. Vasai Virar, Tiruchirappalli, Thrissur, Thiruvananthapuram, Ranchi, Srinagar, Raipur, Malappuram, Kozhikode, Kota, Kollam, Kannur, Jodhpur, Gwalior, Ghaziabad, Durg Bhilainagar, Aurangabad and Chandigarh (City) newly emerged Mega Cities as per Population Census 2011. 2. Poisoning includes the incidence due to food poisoning/accidental intake of insects, spurious/poisoning liquor, leakage of poisoning gases etc., snake bite/animal bite and others. 3. Traffic accidents includes Road accidents, Rail road accidents and other railway accidents. 4. Collapse of structure includes House, Building, Dam, Bridge others. 5. Sudden deaths include i) Heart Attacks ii) Epileptic fits/giddiness iii) Abortion/Childbirth iv) Influence of alcohol. 6. Fire includes i) Fireworks/crackers ii) Short-Circuit iii) Cooking Gas Cylinder/Stove burst iv) other fire accidents.

The dataset contains year-, state and city-wise compiled data on number and rate of crimes committed against children in the india cities with over 2 million population, as per annual yearly crime records data published by National Crimes Records Bureau (NCRB)

New Delhi was the most polluted city in India in 2024, based on an average air quality index (AQI) of ***. The seven most polluted cities in India in 2024 all had AQI levels above ***. An AQI between 151 and 200 is classified as unhealthy. Air pollution in India India was the third most polluted country in the world in 2023, behind only Bangladesh and Pakistan. The South Asian country recorded an average annual fine particulate matter (PM2.5) concentration of ** micrograms per cubic meter of air (µg/m3) that year, more than ** times above the World Health Organization’s recommended limit. Health effects of air pollution Exposure to air pollution can lead to a range of health issues, such as strokes, respiratory conditions, and cardiovascular disease. Air pollution is attributable to millions of premature deaths every year around the world, with India one of the most affected countries.