The mean environmental health hazard index of Morris County, NJ was 55 in 2015. The mean environmental health hazard index of Montgomery County, PA was 50 in 2015.
Median Environmental Health Hazard Index
The environmental health hazard exposure index summarizes potential exposure to harmful toxins including carcinogenic, respiratory, and neurological hazards. Values are percentile ranked and range from 0 to 100, with higher values corresponding to less exposure to harmful toxins. Data is computed for U.S. counties by applying summary statistics across all census tracts present in a county and is current as of 2015.
Health and Environmental Health Datasets Involving Montgomery County, PA or Morris County, NJ
- API data.nj.gov | Last Updated 2018-06-07T18:24:35.000Z
This is a report for all the relevant columns of PA - Amount Allocated, Obligated, Paid- broken down by program, project, county and municipality.
Number of unhealthful days attributable to carbon monoxide, PM-10, lead, sulfur dioxide, and nitrogen dioxide by pollutant, New Jersey: Beginning 2010healthdata.nj.gov | Last Updated 2017-08-24T18:33:52.000Z
Number of unhealthful days attributable to carbon monoxide, PM-10, lead, sulfur dioxide, and nitrogen dioxide by pollutant, New Jersey. Definition: Unhealthful days are determined by the National Ambient Air Quality Standards, which include standards for carbon monoxide, coarse particulate matter (PM-10), lead, sulfur dioxide, and nitrogen dioxide. Data Source: Bureau of Air Monitoring, New Jersey Department of Environmental Protection
- API data.pa.gov | Last Updated 2017-10-11T14:05:07.000Z
Agriculture has guided Pennsylvania's economic growth and cultural development and has profoundly shaped the lands and people of the Commonwealth. The 1850 Federal Decennial Census was the first time in history that data was collected on agricultural production at a national scale. The census manuscripts for Pennsylvania were digitized by PHMC from the original documents in the collections of the National Archives and Records Administration. This dataset includes agricultural production data compiled from Schedule 4 - Productions of Agriculture of the 1850 census and aggregated at the county and municipality level. The visualization combines a timeless practice with the latest advancements in technology. The interactive map of Pennsylvania depicting the value of farms and amounts of livestock provides users with a glimpse into agricultural life in 1850.
- 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 healthdata.nj.gov | Last Updated 2017-04-03T16:52:19.000Z
Ocean and bay beach closings due to elevated bacterial levels, New Jersey. Definition: Number of ocean and tidal water beach closings due to elevated bacteriological levels. Data Source: New Jersey Department of Environmental Protection, Bureau of Water Monitoring and Standards History: MAR 2014 - 2020 target based on 2009 data (41 beach closings) MAR 2017 - Baseline year changed from 2009 to 2010.
Workforce Development Training through Agency Partnerships/Programs FY 2015-2016 Community and Economic Developmentdata.pa.gov | Last Updated 2017-07-19T15:38:52.000Z
The data submitted reflects the number of trainings of Pennsylvania workers offered by DCED and its affiliate programs in Fiscal Year 2015-2016
- API data.pa.gov | Last Updated 2018-10-03T19:05:52.000Z
This dataset contains summary information on opioid drug seizures and arrests made by Pennsylvania State Police (PSP) personnel, stationed statewide, on a quarterly basis. Every effort is made to collect and record all opioid drug seizures and arrests however, the information provided may not represent the totality of all seizures and opioid arrests made by PSP personnel. Data is currently available from January 1, 2013 through July 1, 2018. Seizure Opioids seized as a result of undercover buys, search warrants, traffic stops and other investigative encounters.
- API data.pa.gov | Last Updated 2017-09-22T21:12:52.000Z
PennDOT Official Park and Ride information that is currently available. This is not all inclusive.
- API data.ny.gov | Last Updated 2018-08-07T23:28:50.000Z
Data containing municipal wastewater treatment plant design other features, with data current through the most recent survey.
- API data.pa.gov | Last Updated 2018-08-30T18:41:54.000Z
This data contains summary information for all unconventional spudded wells, drilled starting 7/1/2015 and the new well inspections for each of the spudded wells. Dataset was ran using unconventional spud dates from 7/1/2015 thru 8/29/2018 and ran on 8/29/2018.