About this Dataset

Daily Census Tract-Level PM2.5 Concentrations, 2001-2005

This dataset provides modeled predictions of PM2.5 levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information.

Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action.

By using these data, you signify your agreement to comply with the following requirements:

Use the data for statistical reporting and analysis only.
Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals.
Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov.
Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating.
Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC.
Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Organization: U.S. Department of Health & Human Services
Last updated: 2020-11-10T16:18:17.730043
Tags: air-pollution, asthma, environmental-health, particulate-matter, pm2-5

Tables

Table 1

@usgov.hhs_gov_daily_census_tract_level_pm2_5_concentrations_2001_2005.table_1

232.42 MB
25227695 rows
9 columns


CREATE TABLE table_1 (
  "year" BIGINT,
  "date" VARCHAR,
  "statefips" BIGINT,
  "countyfips" BIGINT,
  "ctfips" BIGINT,
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "ds_pm_pred" DOUBLE,
  "ds_pm_stdd" DOUBLE
);