- What is the Access to Exercise Opportunities Rate?
- What is the Adult Smoking Rate?
- What is the Excessive Drinking Rate?
- What is the Physical Inactivity Rate?
- What is the Percent of Traffic Deaths Involving Alcohol Impairment?
- What is the Sexually Transmitted Infections Rate?
- What is the Population Count?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
The adult obesity rate of El Paso County, CO was 21.80% in 2015.
The Robert Wood Johnson Foundation produces health rankings for states and counties. They explore many aspects of health including quality of life, health behaviors, access to clinical care, socioeconomic factors, and environmental factors.
Health and Health Behaviors Datasets Involving El Paso County, CO
- API data.colorado.gov | Last Updated 2018-06-12T23:57:14.000Z
Sales Tax information is summarized monthly at the county level by industry. Net Tax for the monthly filing period are summarized by county and industry in this report including tax totals. Contains fields like agriculture, clothing, food & beverage, etc. This data set is provided by the Department of Revenue (DOR).
- API data.colorado.gov | Last Updated 2019-05-23T09:46:54.000Z
NOTE: Restaurant Inspections currently being logged off-system while the agencies transition to the new 2019 Colorado Standard. Data updates will resume following this scheduled maintenance. Historical data is available during this update outage. Updates on this dataset are intentionally disabled temporarily while we perform maintenance. Restaurant Inspection data for food service facilities within Adams, Arapahoe, and Douglas counties in Colorado provided by Tri-County Health Department (TCHD).
- API data.countyofriverside.us | Last Updated 2017-06-01T14:50:54.000Z
This data is recorded in the Riverside University Health Systems-BH electronic health record. The report is an aggregated summary of the unduplicated clients served by RUHS-BH in a Fiscal Year. The data set is a de-indentified extraction of the unduplicated clients served in a Fiscal Year and includes the characteristics of the population including: age; Race/Ethnicity, Gender, Geographic Region of County (Desert, Western, Mid-County); Education (18-59yr olds); Martial Status; and Primary Diagnosis.
- API data.colorado.gov | Last Updated 2018-06-13T00:15:23.000Z
Location and counts for number of pedestrians and bicyclists to pass by a specific spot in a given hour over a 24 hour period, from the Colorado Department of Transportation (CDOT).
- API data.cdc.gov | Last Updated 2018-06-04T12:49:09.000Z
This dataset contains model-based county estimates for drug-poisoning mortality. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8). REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html. 3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013. 4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014. 5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf. 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e. 7. National Center for Health Statistics. County geog
- API data.debtwatch.treasurer.ca.gov | Last Updated 2019-05-22T16:47:26.000Z
The principal amounts, sale dates, interest rates, terms, purposes, ratings, costs of issuance, financing team participants, issuance documents, and annual reporting (if applicable), among 67 other data points required under California Government Code section 8855, of the various types of debt issued by all local government agencies in Alameda County.
- API data.colorado.gov | Last Updated 2019-05-13T20:27:33.000Z
Employment counts by SIC and NAICS codes, county, and quarter since 2000 from Colorado Department of Labor and Employment (CDLE).
- API data.colorado.gov | Last Updated 2019-05-14T19:38:36.000Z
This dataset includes all non-24 hour licensed child care facilities in the State of Colorado. It is updated twice a month, and is intended for public use. It includes CDHS-issued child care license numbers, legal business names as they appear in the licensing application, the types of service the programs provide, the physical location address es of the programs as they appear in the licensing application, the longitude-latitude coordinate values derived from geocoding services and spatial QA, the valid Colorado Shines quality rating levels (if applicable), total licensed capacities, and CCCAP utilization and fiscal agreement. Disclaimer: The State of Colorado, the Colorado Department of Human Services, and the Office of Early Childhood make no representations or warranties expressed or implied, with respect to the use of data provided herewith regardless of its format or the means of its transmission. There is no guarantee or representation to the user as to the accuracy, currency, suitability, or reliability of this data for any purpose. The user accepts the data “as is”. The State of Colorado assumes no responsibility for loss or damage incurred as a result of any user reliance on this data. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. The State of Colorado does not necessarily endorse any interpretations or products derived from the data.
- API data.colorado.gov | Last Updated 2015-01-07T16:30:50.000Z
This dataset ranks Colorado counties by health outcomes and factors for the year 2012.
- API data.colorado.gov | Last Updated 2018-06-13T00:02:32.000Z
Colorado Retail and Sales Tax information are summarized monthly at the county level by industry. Retail Sales for the monthly filing period are summarized by county and industry in this report including retail trade totals. Contains fields like agriculture, clothing, food & beverage, etc from the Colorado Department of Revenue (DOR).