Metrics used to give an indication of data quality between our test’s groups. This includes whether documentation was used and what proportion of respondents rounded their answers. Unit and item non-response are also reported.

An Environmental Quality Index (EQI) for all counties in the United States for the time period 2000-2005 was developed which incorporated data from five environmental domains: air, water, land, built, and socio-demographic. The EQI was developed in four parts: domain identification; data source identification and review; variable construction; and data reduction using principal components analysis (PCA). The methods applied provide a reproducible approach that capitalizes almost exclusively on publically-available data sources. The primary goal in creating the EQI is to use it as a composite environmental indicator for research on human health. A series of peer reviewed manuscripts utilized the EQI in examining health outcomes. This dataset is not publicly accessible because: This series of papers are considered Human health research - not to be loaded onto ScienceHub. It can be accessed through the following means: The EQI data can be accessed at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: EQI data, metadata, formats, and data dictionary all available at website. This dataset is associated with the following publications: Gray, C., L. Messer, K. Rappazzo, J. Jagai, S. Grabich, and D. Lobdell. The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): e0203301, (2018). Patel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005. Archives of Public Health. BioMed Central Ltd, London, UK, 76(60): 1, (2018). Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

This page provides information for the Alley Quality Index performance measure.

Nicaragua: Regulatory quality index (-2.5 weak; 2.5 strong): The latest value from 2023 is -0.88 points, an increase from -0.91 points in 2022. In comparison, the world average is -0.03 points, based on data from 193 countries. Historically, the average for Nicaragua from 1996 to 2023 is -0.5 points. The minimum value, -0.91 points, was reached in 2022 while the maximum of -0.24 points was recorded in 1998.

2015 data source: https://data.wa.gov/Natural-Resources-Environment/Annual-2015-Water-Quality-Index-Data/u9d5-kb9m/data data source: https://data.wa.gov/Natural-Resources-Environment/Water-Quality-Index-Scores-1994-2013-from-The-WA-S/k5fe-2e4s/data

Data on long-form data quality indicators for 2021 Census commuting content, Canada, provinces and territories, census divisions and census subdivisions.

Data on short-form data quality indicators for 2021 Census, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.

working-age population (ages 15-64)growth rate was extracted from the World Bank Open Data databases .he real GDP (Y) ,the working-age population (L) and the depreciation rate δ were extracted from the Penn World Table 9.1 . The growth rate of technological progress g is assumed to be constant and equal to 1%.the average share of real investment (inclusive of government investment) was calculated based on PWT 9.1 data. The Regulator Quality Index, Corruption Index, Voice and Accountability Index, Political Stabili-ty/No Violence Index, Government Effectiveness Index, and Rule of Law Index were obtained from the Worldwide Governance Indicators (WGI) dataset.This dataset include 4 different samples of countries, with different economic and institutional environment.

The USA: Regulatory quality index (-2.5 weak; 2.5 strong): The latest value from 2023 is 1.39 points, a decline from 1.42 points in 2022. In comparison, the world average is -0.03 points, based on data from 193 countries. Historically, the average for the USA from 1996 to 2023 is 1.47 points. The minimum value, 1.24 points, was reached in 2015 while the maximum of 1.7 points was recorded in 2000.

This page provides information for the Pavement Quality Index performance measure.

This United States Environmental Protection Agency (US EPA) feature layer represents monitoring site data, updated hourly concentrations and Air Quality Index (AQI) values for the latest hour received from monitoring sites that report to AirNow.Map and forecast data are collected using federal reference or equivalent monitoring techniques or techniques approved by the state, local or tribal monitoring agencies. To maintain "real-time" maps, the data are displayed after the end of each hour. Although preliminary data quality assessments are performed, the data in AirNow are not fully verified and validated through the quality assurance procedures monitoring organizations used to officially submit and certify data on the EPA Air Quality System (AQS).This data sharing, and centralization creates a one-stop source for real-time and forecast air quality data. The benefits include quality control, national reporting consistency, access to automated mapping methods, and data distribution to the public and other data systems. The U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, National Park Service, tribal, state, and local agencies developed the AirNow system to provide the public with easy access to national air quality information. State and local agencies report the Air Quality Index (AQI) for cities across the US and parts of Canada and Mexico. AirNow data are used only to report the AQI, not to formulate or support regulation, guidance or any other EPA decision or position.About the AQIThe Air Quality Index (AQI) is an index for reporting daily air quality. It tells you how clean or polluted your air is, and what associated health effects might be a concern for you. The AQI focuses on health effects you may experience within a few hours or days after breathing polluted air. EPA calculates the AQI for five major air pollutants regulated by the Clean Air Act: ground-level ozone, particle pollution (also known as particulate matter), carbon monoxide, sulfur dioxide, and nitrogen dioxide. For each of these pollutants, EPA has established national air quality standards to protect public health. Ground-level ozone and airborne particles (often referred to as "particulate matter") are the two pollutants that pose the greatest threat to human health in this country.A number of factors influence ozone formation, including emissions from cars, trucks, buses, power plants, and industries, along with weather conditions. Weather is especially favorable for ozone formation when it’s hot, dry and sunny, and winds are calm and light. Federal and state regulations, including regulations for power plants, vehicles and fuels, are helping reduce ozone pollution nationwide.Fine particle pollution (or "particulate matter") can be emitted directly from cars, trucks, buses, power plants and industries, along with wildfires and woodstoves. But it also forms from chemical reactions of other pollutants in the air. Particle pollution can be high at different times of year, depending on where you live. In some areas, for example, colder winters can lead to increased particle pollution emissions from woodstove use, and stagnant weather conditions with calm and light winds can trap PM2.5 pollution near emission sources. Federal and state rules are helping reduce fine particle pollution, including clean diesel rules for vehicles and fuels, and rules to reduce pollution from power plants, industries, locomotives, and marine vessels, among others.How Does the AQI Work?Think of the AQI as a yardstick that runs from 0 to 500. The higher the AQI value, the greater the level of air pollution and the greater the health concern. For example, an AQI value of 50 represents good air quality with little potential to affect public health, while an AQI value over 300 represents hazardous air quality.An AQI value of 100 generally corresponds to the national air quality standard for the pollutant, which is the level EPA has set to protect public health. AQI values below 100 are generally thought of as satisfactory. When AQI values are above 100, air quality is considered to be unhealthy-at first for certain sensitive groups of people, then for everyone as AQI values get higher.Understanding the AQIThe purpose of the AQI is to help you understand what local air quality means to your health. To make it easier to understand, the AQI is divided into six categories:Air Quality Index(AQI) ValuesLevels of Health ConcernColorsWhen the AQI is in this range:..air quality conditions are:...as symbolized by this color:0 to 50GoodGreen51 to 100ModerateYellow101 to 150Unhealthy for Sensitive GroupsOrange151 to 200UnhealthyRed201 to 300Very UnhealthyPurple301 to 500HazardousMaroonNote: Values above 500 are considered Beyond the AQI. Follow recommendations for the Hazardous category. Additional information on reducing exposure to extremely high levels of particle pollution is available here.Each category corresponds to a different level of health concern. The six levels of health concern and what they mean are:"Good" AQI is 0 to 50. Air quality is considered satisfactory, and air pollution poses little or no risk."Moderate" AQI is 51 to 100. Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people. For example, people who are unusually sensitive to ozone may experience respiratory symptoms."Unhealthy for Sensitive Groups" AQI is 101 to 150. Although general public is not likely to be affected at this AQI range, people with lung disease, older adults and children are at a greater risk from exposure to ozone, whereas persons with heart and lung disease, older adults and children are at greater risk from the presence of particles in the air."Unhealthy" AQI is 151 to 200. Everyone may begin to experience some adverse health effects, and members of the sensitive groups may experience more serious effects."Very Unhealthy" AQI is 201 to 300. This would trigger a health alert signifying that everyone may experience more serious health effects."Hazardous" AQI greater than 300. This would trigger a health warnings of emergency conditions. The entire population is more likely to be affected.AQI colorsEPA has assigned a specific color to each AQI category to make it easier for people to understand quickly whether air pollution is reaching unhealthy levels in their communities. For example, the color orange means that conditions are "unhealthy for sensitive groups," while red means that conditions may be "unhealthy for everyone," and so on.Air Quality Index Levels of Health ConcernNumericalValueMeaningGood0 to 50Air quality is considered satisfactory, and air pollution poses little or no risk.Moderate51 to 100Air quality is acceptable; however, for some pollutants there may be a moderate health concern for a very small number of people who are unusually sensitive to air pollution.Unhealthy for Sensitive Groups101 to 150Members of sensitive groups may experience health effects. The general public is not likely to be affected.Unhealthy151 to 200Everyone may begin to experience health effects; members of sensitive groups may experience more serious health effects.Very Unhealthy201 to 300Health alert: everyone may experience more serious health effects.Hazardous301 to 500Health warnings of emergency conditions. The entire population is more likely to be affected.Note: Values above 500 are considered Beyond the AQI. Follow recommendations for the "Hazardous category." Additional information on reducing exposure to extremely high levels of particle pollution is available here.

Vietnam: Regulatory quality index (-2.5 weak; 2.5 strong): The latest value from 2023 is -0.38 points, an increase from -0.43 points in 2022. In comparison, the world average is -0.03 points, based on data from 193 countries. Historically, the average for Vietnam from 1996 to 2023 is -0.55 points. The minimum value, -0.77 points, was reached in 2002 while the maximum of -0.24 points was recorded in 2020.

This dataset contains detailed information on air quality measurements collected from various countries. It provides insights into how air pollution levels change across different regions and periods

Number of columns: 4

Number of rows: 21,964

About columns:

Date: day or time period when the air quality data was recorded.

Country: The name of the country.

Status: The air quality condition (e.g. Good, Moderate, Unhealthy)

AQI Value: The numerical Air Quality Index (AQI) value

Tempe’s roadways are an important means of transportation for residents, the workforce, students, and visitors. Tempe measures the quality and condition of its roadways using a Pavement Quality Index (PQI). This measure, rated from a low of 0 to a high of 100, is used by the City to plan for maintenance and repairs, and to allocate resources in the most efficient way possible.

This operations dashboard shows historic and current data related to this performance measure.The performance measure dashboard is available at 1.22 Pavement Quality Index. Data Dictionary

Ever wondered how bad the air really is? Wonder no more! We've got 14 years of hourly data from 553 stations across India proving that yes, it's probably worse than you thought.

Perfect for data scientists who want to predict the unpredictable and researchers who enjoy charts that trend upward in all the wrong ways.

🏆 The Masterminds Behind This Chaos

Curated by: - @omsandeeppatil - Guy who decided counting particles in air was fun - @durvadongre - Partner in crime

Brought to you by: Project Parisar - Because someone has to keep track of this mess

🎯 What Can You Do With This?

• Predict the future: Will tomorrow's air be soup or just thick fog?
• Machine Learning: Teach computers to be as pessimistic about air quality as we are
• Health Research: Correlate coughing patterns with PM2.5 spikes
• Climate Studies: Document the slow-motion environmental apocalypse
• Urban Planning: Help cities figure out where NOT to put playgrounds

📁 How We Organized This Disaster

├── stations.csv         # All 553 ways we measure disappointment
└── data/
  ├── Andhra-Pradesh/
  │  ├── AP01.csv      # Local air quality: "Meh"
  └── [More States of Despair]/

🗂️ What's Inside

stations.csv - Station Hall of Fame

Your guide to 553 locations where we scientifically measure "yikes":

Individual Station Files - The Daily Grind

🌫️ The Main Villains: - pm2.5 - Tiny particles of regret (μg/m³) - pm10 - Bigger particles of regret (μg/m³) - no2 - Nitrogen's angry cousin (μg/m³) - so2 - Sulfur's contribution to chaos (μg/m³) - co - The silent but deadly friend (mg/m³) - ozone - Good upstairs, bad downstairs (μg/m³)

🧪 The Chemical Ensemble Cast: - benzene, toluene, xylene - The aromatic troublemakers (μg/m³) - nh3 - Ammonia, because why not? (μg/m³)

🌡️ Weather Accomplices: - rh - Humidity (makes everything stickier) (%) - ws - Wind speed (how fast help is blowing away) (m/s) - wd - Wind direction (where the blame is coming from) (°) - bp - Barometric pressure (atmospheric mood swings) (hPa)

📅 Time & Place Stamps: - timestamp - When exactly everything went wrong - station_id - Which station witnessed this particular tragedy

🌍 Geographic Coverage

From the bustling metros to sleepy hill stations, we've got disappointing air quality data everywhere! Mumbai's industrial charm, Delhi's winter wonderland of smog, and even those "pristine" hill stations that aren't so pristine anymore.

📈 Data Quality

• 85% complete (The other 15% probably gave up measuring)
• CPCB validated (Officially certified disappointment)
• Missing values clearly marked (Honesty in despair)

🛠️ Tech Specs

Format: CSV (Because even environmental disasters need spreadsheets)
Encoding: UTF-8 (International standard for documenting problems)
Missing Values: When even the sensors couldn't handle it

🔍 Perfect For

• PhD students who hate themselves
• Data scientists with a dark sense of humor
• Anyone building the next "AirpocalypseNow" app
• Researchers documenting the end times

📚 How to Cite This Masterpiece

Patil, O.S., Dongre, D. (2024). "India Air Quality Dataset: 
14 Years of Scientifically Measuring How Screwed We Are." 
Project Parisar. Available at: [kaggle-url]

🤝 Want to Help?

Project Parisar welcomes contributions! Because misery loves company, and data cleaning is a team sport.

📞 Questions?

Hit up @omsandeeppatil or @durvadongre - they're the brave souls who actually organized this chaos.

🏷️ Tags

environmental-disaster data-science time-series india air-pollution machine-learning public-health why-we-cant-have-nice-things

Disclaimer: No air particles were harmed in the making of this dataset. They're doing just fine, unfortunately.

ABSTRACT Analyzing the physical-chemical and biological characteristics allows the evaluation of the water quality of a water body. Thus, the objective of this study was to determine the water quality index of the Passaúna and Piraquara rivers, as well as to apply statistical quality control methodologies to evaluate the data resulting from the monitoring of water quality. Therefore, a database with physico-chemical and microbiological parameters of the Passaúna and Piraquara rivers, a watershed of the Iguaçu River, belonging to the cities of Araucária and Piraquara, respectively Paraná, Brazil, was used to carry out the research. The water quality index was determined with the time series and, subsequently, these data were submitted to the statistical control of the process, with the control charts of individual Shewhart, EWMA and CUSUM, in addition to the development of the process capacity index. The WQI detected that the rivers remained in average quality until the year 2000, however, from that year it was possible to see a decreasing trend in the water quality of the evaluated rivers. The control charts of Shewhart, EWMA, CUSUM and the process capability index were able to identify the decreasing trend in water quality, demonstrating that they are fast and efficient techniques for the evaluation of water quality control.

This dataset consists of worldwide air quality analytics. The data inputs was sourced from the official govermental website which describes the current Air Quality Index (AQI) based on daily and/or monthly reports. This dataset was generated on April 11, 2025.

Data inputs in this dataset were composed of: - Detail of the city, including the country and its region - Air quality index score - Atmospheric condition

Proportion of monitoring sites in NSW with a Water Quality Index Rating of good, moderate and poor. The Water Quality Index measures the water quality condition of rivers in NSW. It compares monthly water quality results against a set of predetermined water quality targets to calculate a score between 1 and 100. A score of 100 represents a site in pristine condition, while a score of one is a very highly degraded site.

Data is collected by the DCCEEW Water Group and published in their Water Quality Reports.

AQI: Alaska: Anchorage: SO2 data was reported at 0.000 Index in 05 Dec 1984. This stayed constant from the previous number of 0.000 Index for 04 Dec 1984. AQI: Alaska: Anchorage: SO2 data is updated daily, averaging 0.000 Index from Dec 1980 (Median) to 05 Dec 1984, with 881 observations. The data reached an all-time high of 41.000 Index in 07 Aug 1984 and a record low of 0.000 Index in 05 Dec 1984. AQI: Alaska: Anchorage: SO2 data remains active status in CEIC and is reported by United States Environmental Protection Agency. The data is categorized under Global Database’s United States – Table US.ESG.E001: Air Quality Index and Air Pollutants.