Environmental Public Health Tracking: Data Details

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On this page you will find data details for the Wisconsin Environmental Public Health Tracking Program's data portal. (opens external link)

Helpful resources

Glossary. Find definitions and explanations of terminology found on the portal, like age-adjusted rate and confidence intervals.
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Read frequently asked questions about the air emissions data

Facilities reported

These data come from the Wisconsin Department of Natural Resources (DNR) and represent the number of facilities in a geographic area that have reached or exceeded an applicable reportable level in Table 1 in Wis. Admin. Code ch. NR 438. (opens external link) Note: Facilities from years 2012-2014 that were missing addresses were geocoded using the most recent years of data and the facility identification number (FID). This allowed for facilities and reported emissions to be tied to locations at the county and census tract level more accurately.

Total reportable emissions

These data come from the DNR. Under Wis. Adm. Code § NR 438.03 (opens external link) (Air Contaminant Emissions Inventory Reporting Requirements), facilities in Wisconsin must report air contaminant emissions when an air contaminant is emitted in quantities above a certain reportable level. The data exclude emissions less than the reportable levels. State data are greater than summed county or census tract data because of limitations in geocoding. To find out more about reporting levels by pollutant, review Table 1 in Wis. Admin. Code ch. NR 438. (opens external link)

For more information on air emissions, visit DNR’s Air Emissions webpage. (opens external link)

Displayed emissions

1,3-Butadiene (Butadiene - 1,3) (CAS No. 106-99-0)

The reportable level for 1,3-Butadiene is 3.17 pounds per year (0.001585 tons/year). These data represent the sum of 1,3-Butadiene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

2-Ethoxyethanol (CAS No. 110-80-5)

The reportable level for 2-ethoxyethanol (also known as ethylene glycol monoethyl ether, EGEE, or Cellosolve) is 4,336 pounds per year (2.168 tons/year). These data represent the sum of 2-ethoxyethanol emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Acrolein (CAS No. 107-02-8)

The reportable level for acrolein is 75 pounds per year (0.0375 tons/year). These data represent the sum of acrolein emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Acrylonitrile (CAS No. 107-13-1)

The reportable level for acrylonitrile is 13.1 pounds per year (0.00655 tons/year). These data represent the sum of acrylonitrile emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Ammonia (CAS No. 7664-41-7)

The reportable level for ammonia is 4,097 pounds per year (2.0485 tons/year). These data represent the sum of ammonia emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Arsenic (CAS No. 7440-38-2)

The reportable level for arsenic, including elemental and inorganic compounds, is 0.207 pounds per year (0.0001035 tons/year). These data represent the sum of arsenic emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Benzene CAS No. (71-43-2)

The reportable level for benzene is 114 pounds per year (0.057 tons/year). These data represent the sum of benzene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Benzidine (CAS No. 92-87-5)

The reportable level for benzidine is 0.0133 pounds per year (0.00000665 tons/year). These data represent the sum of benzidine emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Beryllium and Beryllium compounds, as Be (CAS No. 7440-41-7)

The reportable level for beryllium, including beryllium compounds, is 0.37 pounds per year (0.000185 tons/year). These data represent the sum of beryllium emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Carbon Monoxide (CO) (CAS No. 630-08-0)

The reportable level for carbon monoxide is 10,000 pounds per year (5 tons/year). These data represent the sum of carbon monoxide emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Carbon Dioxide (CO2) (CAS No. 124-38-9)

The reportable level for carbon dioxide is 200 million pounds per year (100,000 tons/year). These data represent the sum of carbon dioxide emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Cadmium and Cadmium compounds, as Cd (CAS No. 7440-43-9)

The reportable level for cadmium, including cadmium compounds, is 0.494 pounds per year (0.000247 tons/year). These data represent the sum of cadmium emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Chlorine (CAS No. 7782-50-5)

The reportable level for chlorine is 341 pounds per year (0.1705 tons/year). These data represent the sum of chlorine emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Chromium (metal) and compounds other than Chromium (VI) (CAS No. 7440-47-3)

The reportable level for chromium (metal) and compounds other than chromium (VI) is 118 pounds per year (0.059 tons/year). The reportable level for chromium (VI) is 0.074 pounds per year (0.000037 tons/year). These data represent the sum of chromium emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Ethanolamine (CAS No. 141-43-5)

The reportable level for ethanolamine is 1,763 pounds per year (0.8815 tons/year). These data represent the sum of ethanol emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Ethyl Benzene (CAS No. 100-41-4)

The reportable level for ethyl benzene is 6,000 pounds per year (3 tons/year). These data represent the sum of ethyl benzene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Ethylene Oxide (CAS No. 75-21-8)

The reportable level for ethylene oxide is 10.1 pounds per year (0.00505 tons/year). These data represent the sum of ethylene oxide emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Formaldehyde (CAS No. 50-00-0)

The reportable level for formaldehyde is 68.3 pounds per year (0.03415 tons/year). These data represent the sum of formaldehyde emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Greenhouse gases (GHG)

The Environmental Protection Agency (EPA) defines greenhouse gases (opens external link) (GHG) as carbon dioxide, methane, nitrous oxide and fluorinated gases. Of the EPA GHG pollutants, Table 1 of Wis. Adm. Code ch. NR 438 (opens external link), includes carbon dioxide (100,000 tons/year), nitrous oxide (3 tons/year) and hydrofluorocarbons (3 tons/year). These data represent the sum of the GHG emissions from reporting facilities, within the chosen year and geographic boundary.

Hydrogen Sulfide (CAS No. 7783-06-4)

The reportable level for hydrogen sulfide is 3,279 pounds per year (1.6395 tons/year). These data represent the sum of hydrogen sulfide emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Lead (all) (CAS No. 7439-92-1)

Lead (all) includes lead and lead compounds. The reportable level for lead and lead compounds is 400 pounds per year (0.2 tons/year). These data represent the sum of lead emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Mercury (Inorganic and other) (CAS No. 7439-97-6)

Mercury (inorganic and other) includes alkyl compounds, aryl compounds, and inorganic forms. The reportable level for alkyl mercury compounds is 2.35 pounds per year (0.001175 tons/year). The reportable level for aryl mercury compounds is 23.5 pounds per year (0.01175 tons/year). The reportable level for inorganic mercury compounds is 5.88 pounds per year (0.00294 tons/year). These data represent the sum of mercury emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Methylene Chloride (CAS No. 75-09-2)

The reportable level for methylene chloride (also known as dichloromethane) is 1,890 pounds per year (0.945 tons/year). These data represent the sum of methylene chloride emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Nitrous Oxide (N2O) (CAS No. 10024-97-2)

The reportable level for nitrous oxide (N2O) is 6,000 pounds per year (3 tons/year). These data represent the sum of N2O emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Nitrogen Oxides (NOx)

The reportable level for nitrogen oxides is 10,000 pounds per year (5 tons/year). These data represent the sum of nitrogen oxides emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Naphthalene (CAS No. 91-20-3)

The reportable level for naphthalene is 6,000 pounds per year (3 tons/year). These data represent the sum of naphthalene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Nitric Acid (CAS No. 7697-37-2)

The reportable level for nitric acid is 1,213 pounds per year (0.6065 tons/year). These data represent the sum of nitric acid emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Primary Particulate Matter (PM)

The reportable level for particulate matter is 10,000 pounds per year (5 tons/year). These data represent the sum of particulate matter emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Primary Particulate Matter 10 (PM10), including filterable and condensable components

The reportable level for primary PM10 is 10,000 pounds per year (5 tons/year). These data represent the sum of coarse particulate matter emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Perchloroethylene (PERC) (CAS No. 127-18-4)

The reportable level for perchloroethylene (also known as tetrachloroethylene) is 151 pounds per year (0.0755 tons/year). These data represent the sum of perchloroethylene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Phenol (CAS No. 108-95-2)

The reportable level for phenol is 4,528 pounds per year (2.264 tons/year). These data represent the sum of phenol emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Phosphoric Acid (CAS No. 7664-38-2)

The reportable level for phosphoric acid is 235 pounds per year (0.1175 tons/year). These data represent the sum of phosphoric acid emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Volatile Organic Compounds (VOC) [Reactive Organic Gases]

The reportable level for VOC [Reactive Organic Gases] is 6,000 pounds per year (3 tons/year). These data represent the sum of VOC [Reactive Organic Gases] emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Sulfur Dioxide (SO2) (CAS No. 7446-09-5)

The reportable level for Sulfur dioxide (SO2) is 10,000 pounds per year (5 tons/year). These data represent the sum of sulfur dioxide emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Stoddard solvent (mineral spirits) (CAS No. 8052-41-3)

The reportable level for Stoddard solvent (also known as mineral spirits) is 6,000 pounds per year (3 tons/year). These data represent the sum of Stoddard solvent emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Styrene (Monomer) (CAS No. 100-42-5)

The reportable level for styrene (monomer) is 6,000 pounds per year (3 tons/year). These data represent the sum of styrene (monomer) emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Sulfuric Acid (CAS No. 7664-93-9)

The reportable level for sulfuric acid is 235 pounds per year (0.1175 tons/year). These data represent the sum of sulfuric acid emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Tetrachlorodibenzo-p-dioxin-2,3,7,8 (TCDD) (CAS No. 1746-01-6)

The reportable level for TCDD (2,3,7,8-Tetrachlorodibenzo-p-dioxin) is 0.00005 pounds per year (0.000000025 tons/year). These data represent the sum of TCDD emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Toluene (CAS No. 108-88-3)

The reportable level for toluene (also known as toluol) is 6,000 pounds per year (3 tons/year). These data represent the sum of toluene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Trichloroethylene (CAS No. 79-01-6)

The reportable level for trichloroethylene (also known as trichloroethene) is 444 pounds per year (0.222 tons/year). These data represent the sum of trichloroethylene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Triethanolamine (CAS No. 102-71-6)

The reportable level for triethanolamine is 1,176 pounds per year (0.588 tons/year). These data represent the sum of triethanolamine emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Vinyl Chloride (CAS No. 75-01-4)

The reportable level for vinyl chloride is 101 pounds per year (0.0505 tons/year). These data represent the sum of vinyl chloride emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Xylene (CAS No. 1330-20-7)

The reportable level for xylene, including mixtures and isomers, xylol, and dimethyl benzene, is 6,000 pounds per year (3 tons/year). These data represent the sum of xylene emissions from all facilities that exceeded the reportable level, within the chosen year and geographic boundary.

Read frequently asked questions about the air quality data

Ozone

Annual days above standard

This measure is the annual number of days with maximum eight-hour average ozone concentration above the National Ambient Air Quality Standard. The measure includes both monitored and modeled data. The monitored data comes from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS). When AQS data are available from multiple monitors for a given county and day, the highest eight-hour maximum (daily) ozone concentration among all the monitors is selected for purposes of creating daily county-level data. EPA provides modeled estimates of ozone using Downscaler (DS) model, which uses a statistical approach to fuse monitored data in areas where monitors exist, and relies on Community Multi-scale Air Quality (CMAQ) modeled output in areas without monitors. DS modeled estimates are available by census tract centroid; the geographic center of the census tract. Daily county-level modeled estimates are obtained by selecting the maximum value observed among all the census tracts within each county. County-level ozone measures are created using monitor data when available and using modeled estimates for days and locations without such data.

Annual person-days above standard

This measure is the annual number of person-days with maximum eight-hour average ozone concentration above the National Ambient Air Quality Standard. The measure includes both monitored and modeled data. The monitored data comes from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS). When AQS data are available from multiple monitors for a given county and day, the highest eight-hour maximum (daily) ozone concentration among all the monitors is selected for purposes of creating daily county-level data. EPA provides modeled estimates of ozone using Downscaler (DS) model, which uses a statistical approach to fuse monitored data in areas where monitors exist, and relies on Community Multi-scale Air Quality (CMAQ) modeled output in areas without monitors. DS modeled estimates are available by census tract centroid; the geographic center of the census tract. Daily county-level modeled estimates are obtained by selecting the maximum value observed among all the census tracts within each county. County-level ozone measures are created using monitor data when available and using modeled estimates for days and locations without such data.

Particulate matter less than 2.5 micrometers (PM2.5)

Annual person-days above standard

This measure is the annual number of person-days with particulate matter less than 2.5 micrometers (PM2.5) levels above the National Ambient Air Quality Standard. The measure includes both monitored and modeled data. The monitored data comes from the U.S. Environmental Protection Agency (EPA) Air Quality System (AQS). When AQS data are available from multiple monitors for a given county and day, the highest 24-hour average (daily) PM2.5 concentration among all the monitors is selected for purposes of creating daily county-level data. EPA provides modeled estimates of PM2.5 using Downscaler (DS) model, which uses a statistical approach to fuse monitored data in areas where monitors exist, and relies on Community Multi-scale Air Quality (CMAQ) modeled output in areas without monitors. DS modeled estimates are available by census tract centroid; the geographic center of the census tract. Daily county-level modeled estimates are obtained by selecting the maximum value observed among all the census tracts within each county. County-level PM2.5 measures are created using monitor data when available and using modeled estimates for days and locations without such data.

Average annual concentration (μ/m3)

This measure is the annual average ambient concentration of particulate matter less than 2.5 micrometers (PM2.5) in micrograms per cubic meter (based on seasonal averages and daily measurements). The measure includes both monitored and modeled data. The monitored data comes from the U.S. Environmental Protection Agency's (EPA) Air Quality System (AQS). When AQS data are available from multiple monitors for a given county and day, the highest 24-hour average (daily) PM2.5 concentration among all the monitors is selected for purposes of creating daily county-level data. EPA provides modeled estimates of PM2.5 using Downscaler (DS) model, which uses a statistical approach to fuse monitored data in areas where monitors exist, and relies on Community Multi-scale Air Quality (CMAQ) modeled output in areas without monitors. DS modeled estimates are available by census tract centroid the geographic center of the census tract. Daily county-level modeled estimates are obtained by selecting the maximum value observed among all the census tracts within each county. County-level PM2.5 measures are created using monitor data when available and using modeled estimates for days and locations without such data.

Read frequently asked questions about the alcohol data

Alcohol outlet density

Number of licenses

These data come from the Wisconsin Department of Revenue (DOR) and are based on the liquor licenses issued and reported to the DOR. Data are a point-in-time estimate (that means the data are shared once annually and, at any given time throughout the year, a new license could be issued or an old one not renewed). Data are not suppressed for this measure. This measure represents the number of licenses in a municipality, county, or state in the respective year. Some establishments are issued more than one type of liquor license. The reported number of licenses per geographic region is the number of establishments issued a license. Please note that differences in alcohol outlet density by county or municipality are difficult to interpret. Rural counties may have a higher number of outlets relative to population, but these outlets may be small and serve fewer people than a single outlet in a large city. However, this higher number of outlets relative to the population may also indicate greater accessibility. Moreover, county level data may mask great variations in density for various locations within a given county.

People per license (PPL)

These data come from the Wisconsin Department of Revenue (DOR) and are based on the liquor licenses issued and reported to the DOR. Data are a point-in-time estimate (that means the data are shared once annually and, at any given time throughout the year, a new license could be issued or an old one not renewed). Data are not suppressed for this measure. This measure represents the total population in a given geographic area (state, county, and municipality) divided by the number of establishments with liquor licenses. That is, the number of people per alcohol license by municipality, county, or state in the respective year. Please note that differences in alcohol outlet density by county or municipality are difficult to interpret. Rural counties may have a higher number of outlets relative to population, but these outlets may be small and serve fewer people than a single outlet in a large city. However, this higher number of outlets relative to the population may also indicate greater accessibility. Moreover, county level data may mask great variations in density for various locations within a given county.

Rate of alcohol licensure per 500 people

These data come from the Wisconsin Department of Revenue (DOR) and are based on the liquor licenses issues and reported to the DOR. Data are a point-in-time estimate (that means the data are shared once annually and, at any given time throughout the year, a new license could be issued or an old one not renewed). Data are not suppressed for this measure. This rate represents the number of establishments with a liquor license divided by the total number of people in the geographic region (municipality, county, or state). This rate is expressed as a number per 500 people in the population. Please note that differences in alcohol outlet density by county or municipality are difficult to interpret. Rural counties may have a higher number of outlets relative to population, but these outlets may be small and serve fewer people than a single outlet in a large city. However, this higher number of outlets relative to the population may also indicate greater accessibility. Moreover, rates may mask great variations in density for various locations within a given county.

Number of license types

This measure represents the number of alcohol licenses issued by license type by municipality, county, or state in the respective year. Per Wis. Stat. § 125.04(g) (opens external link):

Type A licenses includes Class "A" retail sale of beer for consumption off the premises (AB); "Class A” retail sale of liquor, including wine, for consumption off the premises (AL); "Class A" retail sale of cider for consumption off the premises (AC); and "Class A” retail sale of beer and liquor, including wine, for consumption off the premises (ALB).
Type B includes Class “B” retail sale of beer for consumption on or off the premises (BB); "Class B” retail sale of liquor, including wine, for consumption on the premises and wine in original sealed container for consumption off the premises (BL); and "Class B“ beer and liquor (BLB).
Type C is "Class C” wine for consumption only on the premises and carryout of a single opened and resealed bottle if sold with a meal. For more information on what each class permits visit the DOR. (opens external link)

Sub-county (city/town/village)

At the sub-county level, alcohol license data can be viewed by municipality (i.e., city, town, or village). However, it is important to keep in mind that 56 municipalities in Wisconsin overlap county boundaries. For ease of use, we have included these municipalities in each county where they are partially contained. For example, Watertown (city) can be viewed as a sub-county component of either Dodge County or Jefferson County. The following cities, towns, or villages are affected: Abbotsford (city), Appleton (city), Ashland (city), Bayside (village), Belleville (village), Berlin (city), Birnamwood (village), Blanchardville (village), Brodhead (city), Brooklyn (village), Burlington (city), Cambridge (village), Cazenovia (village), Colby (city), Columbus (city), Cuba City (city), De Soto (village), Dorchester (village), Eau Claire (city), Edgerton (city), Genoa City (village), Hartford (city), Harrison (village), Hazel Green (village), Howard (village), Kaukauna (city), Kewaskum (village), Kiel (city), Lac La Belle (village), Livingston (village), Marion (city), Marshfield (city), Menasha (city), Milladore (village), Milwaukee (city), Montfort (village), Mukwonago (village), Muscoda (village), New Auburn (village), Newburg (village), New London (city), Ontario (village), Pulaski (village), Randolph (village), River Falls (city), Rockland (village), Spring Valley (village), Stanley (city), Turtle Lake (village), Unity (village), Viola (village), Watertown (city), Waupun (city), Whitewater (city), Wisconsin Dells (city), and Wrightstown (village).

Alcohol hospitalizations

Number of alcohol-attributable hospitalizations

These data were collected from inpatient hospital discharge records. When Wisconsin residents were treated in neighboring states, data from those states were obtained (where possible). Hospitalization records for 2001-2004 were obtained from Wisconsin and Iowa. Hospitalizations records for 2005-2014 were obtained from Wisconsin, Iowa, and Minnesota. Data are not suppressed for this measure. To determine which hospitalizations were attributable to alcohol, specifications from the Alcohol-Related Disease Impact (ARDI), developed by the CDC (Centers for Disease Control and Prevention) Alcohol Program, were used. These specifications define 54 conditions or groups of conditions and associate each with distinct fractions of cases that are attributable to alcohol. These alcohol-attributable fractions (AAF) were determined by the CDC through direct and indirect measurements. The total number of alcohol-attributable hospitalizations was estimated by using the ARDI specified International Classification of Diseases, 9th and 10th revision (ICD-9 and ICD-10) codes and multiplying by the respective alcohol-attributable fraction.

Crude rate per 100,000

These data were collected from inpatient hospital discharge records. When Wisconsin residents were treated in neighboring states, data from those states were obtained (where possible). Hospitalization records for 2001-2004 were obtained from Wisconsin and Iowa. Hospitalizations records for 2005-2014 were obtained from Wisconsin, Iowa, and Minnesota. Data are not suppressed for this measure. To determine which hospitalizations were attributable to alcohol, specifications from ARDI, developed by the CDC Alcohol Program, were used. These specifications define 54 conditions or groups of conditions and associate each with distinct fractions of cases that are attributable to alcohol. These alcohol-attributable fractions (AAF) were determined by the CDC through direct and indirect measurements. The total number of alcohol-attributable hospitalizations was estimated by using the ARDI specified ICD-9 and ICD-10 codes and multiplying by the respective alcohol-attributable fraction. The crude rate is determined by dividing the total number of alcohol-attributable hospitalizations in the county or state by the respective population. This rate is expressed as a number per 100,000 people. The crude rate does not take into account the differences across counties in age or sex distribution and are therefore potentially subject to biases from these factors.

Suicide deaths

Count

These data were obtained from Wisconsin resident death certificate files. International Classification of Diseases, 10th revision (ICD-10) codes were used to determine suicide deaths. To determine the suicides attributable to alcohol, specifications from ARDI, developed by the CDC Alcohol Program were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Suicide by alcohol of those 15 years of age and older was 100% attributable to alcohol and was identified by ICD-10 code X65. Suicide and self-inflicted injury deaths not specifically by alcohol of those 15 years of age and older were considered 23% attributable to alcohol and were identified by the ICD-10 codes X60-X64, X66-X84, and Y87.0. ARDI determined an AAF of 23% for suicide and self-inflicted injury not specifically by alcohol through direct measurement based on a meta-analysis by Smith et al. (1999). Total suicide deaths attributable to alcohol were determined by multiplying the counts of the ICD-10 codes by the respective AAF and summing.

Crude rate

These data were obtained from Wisconsin resident death certificate files. ICD-10 codes were used to determine suicide deaths To determine the suicides attributable to alcohol, specifications from ARDI, developed by the CDC Alcohol Program, were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Suicide by alcohol of those 15 years of age and older was 100% attributable to alcohol and was identified by ICD-10 code X65. Suicide and self-inflicted injury deaths not specifically by alcohol of those 15 years of age and older were considered 23% attributable to alcohol and were identified by the ICD-10 codes X60-X64, X66-X84, and Y87.0. ARDI determined an AAF of 23% for suicide and self-inflicted injury not specifically by alcohol through direct measurement based on a meta-analysis by Smith et al. (1999). The crude rate was then determined by dividing the total number of alcohol-attributable suicides in the state by the state population. This rate is expressed as a number per 100,000 people.

Poisoning deaths

Count

These data were obtained from Wisconsin resident death certificate files. ICD-10 codes were used to determine poisoning deaths. Poisoning deaths exclude acute alcohol poisoning and includes only non-ethyl alcohol poisonings. To determine the non-ethyl alcohol poisonings attributable to alcohol, specifications from ARDI, developed by the CDC Alcohol Program, were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Non-ethyl alcohol poisonings of those 15 years of age and older was 29% attributable to alcohol and was identified by ICD-10 codes X40-X44,X46-X49, Y10-Y14, and Y16-Y19. ARDI determined an AAF of 29% non-ethyl alcohol poisonings through direct measurement based on a meta-analysis by Smith et al. (1999). Total non-ethyl alcohol poisonings deaths attributable to alcohol were determined by multiplying the counts of the ICD-10 codes by the respective AAF and summing.

Crude rate

These data were obtained from Wisconsin resident death certificate files. ICD-10 codes were used to determine poisoning deaths. Poisoning deaths exclude acute alcohol poisoning and include only non-ethyl alcohol poisonings. To determine the non-ethyl alcohol poisonings attributable to alcohol, specifications from ARDI, developed by the CDC Alcohol Program, were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Non-ethyl alcohol poisonings of those 15 years of age and older was 29% attributable to alcohol and was identified by ICD-10 codes X40-X44,X46-X49, Y10-Y14, and Y16-Y19. ARDI determined an AAF of 29% non-ethyl alcohol poisonings through direct measurement based on a meta-analysis by Smith et al. (1999). The crude rate was then determined by dividing the total number of alcohol-attributable non-ethyl alcohol poisonings in the state by the state population. This rate is expressed as a number per 100,000 people.

Unintentional fall deaths

Count

These data were obtained from Wisconsin resident death certificate files. International Classification of Diseases, 10th revision (ICD-10) codes were used to determine unintentional fall deaths. To determine the fall deaths attributable to alcohol, specifications from Alcohol-Related Disease Impact (ARDI), developed by the CDC Alcohol Program, were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Unintentional fall deaths of those 15 years of age and older was 32% attributable to alcohol and was identified by ICD-10 codes W00-W19. ARDI determined an AAF of 32% alcohol-attributable falls through direct measurement based on a meta-analysis by Smith et al. (1999). Total fall deaths attributable to alcohol were determined by multiplying the counts of the ICD-10 codes by the respective AAF and summing.

Crude rate

These data were obtained from Wisconsin resident death certificate files. International Classification of Diseases, 10th revision (ICD-10) codes were used to determine unintentional fall deaths. To determine the fall deaths attributable to alcohol, specifications from Alcohol-Related Disease Impact (ARDI), developed by the CDC Alcohol Program, were used. The ARDI specifications define the fraction of deaths by various means that are attributable to alcohol. Unintentional fall deaths of those 15 years of age and older was 32% attributable to alcohol and was identified by ICD-10 codes W00-W19. ARDI determined an AAF of 32% alcohol-attributable falls through direct measurement based on a meta-analysis by Smith et al. (1999). The crude rate was then determined by dividing the total number of alcohol-attributable falls in the state by the state population. This rate is expressed as a number per 100,000 people.

Read frequently asked questions about the asthma data

Asthma emergency department visits

Number of emergency department visits for asthma

These data include emergency department visits for asthma and are collected from emergency room visit discharge records. Emergency department visits resulting in subsequent hospitalization are also included. Federally funded hospitals (for example, Veteran's Administration (VA) hospitals, which are exempt from state reporting requirements) are not included in these data. This measure includes emergency department visits with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppressed for counties with fewer than five visits to protect confidentiality. However, counties with zero cases are not suppressed. Please note that counts are a statistically-limited way to consider emergency department visits because they do not allow for accurate comparison between counties. Counties with higher populations, such as Milwaukee, will have more emergency department visits simply because they have more people. An age-adjusted rate is a better measure for true comparison between counties.

Prior to 2018, the county variable in the emergency department (ED) data was assigned based on the zip code of the residence of the patient. In cases where a zip code spanned more than one county, the ED visit was placed into the county with the higher population. Beginning in 2018, geocoded data became available in Wisconsin ED visit data, which allows for a more accurate determination of county of residence. The new block group variable is the geocoded latitude/longitude of the patient’s residential address. The first five digits of the block group variable are used to determine the Wisconsin county. Due to this change, caution should be used when comparing county-level data prior to 2018 with data from 2018 onward.

Crude rates of emergency department visits for asthma per 10,000 people

These data include emergency department visits for asthma and are collected from emergency room visit discharge records. Emergency department visits resulting in subsequent hospitalization are also included. Federally funded hospitals (for example, Veteran's Administration [VA] hospitals, which are exempt from state reporting requirements) are not included in these data. This measure includes emergency department visits with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppressed for counties with fewer than five visits to protect confidentiality. However, counties with zero cases are not suppressed. The crude rate is the number of emergency department visits divided by the total number of people in the area of interest (for example, a county). Population of interest is derived from census data. This is expressed as a number per unit population such as "per 10,000 population." Crude rates do not take into account the differences in age distributions across counties and are therefore subject to bias. Use age-adjusted rates for a better standardized measure.

Asthma emergency department visits age-adjusted rates per 10,000 people

These data include emergency department visits for asthma and are collected from emergency room visit discharge records. Emergency department visits resulting in subsequent hospitalization are also included. Federally funded hospitals (for example, Veteran's Administration [VA] hospitals, which are exempt from state reporting requirements) are not included in these data. This measure includes emergency department visits with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppressed for counties with fewer than five visits to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. An age-adjusted rate is a rate that is statistically modified to eliminate the potential biasing effect of different age distributions across different populations. In other words, the age-adjusted rate accounts for the possibility that emergency department visits for asthma may be more frequent among younger individuals and some counties have more younger individuals than others. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Asthma hospitalizations

Number of hospitalizations for asthma

These data include hospitalizations for asthma and are collected from inpatient hospital discharge records. This measure includes hospitalizations with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppressed for counties with fewer than five visits to protect confidentiality. However, counties with zero cases are not suppressed. Please note that counts are a statistically limited way to consider emergency department visits because they do not allow for accurate comparison between counties. Counties with higher populations, such as Milwaukee, will have more hospitalizations simply because they have more people. An age-adjusted rate is a better measure for true comparison between counties.

Prior to 2018, the county variable in the hospitalization data was assigned based on the zip code of the residence of the patient. In cases where a zip code spanned more than one county, the hospitalization was placed into the county with the higher population. Beginning in 2018, geocoded data became available in Wisconsin hospitalization data, which allows for a more accurate determination of county of residence. The new block group variable is the geocoded latitude/longitude of the patient’s residential address. The first five digits of the block group variable are used to determine the Wisconsin county. Due to this change, caution should be used when comparing county-level data prior to 2018 with data from 2018 onward.

Crude rates of hospitalizations for asthma per 10,000 people

These data include hospitalizations for asthma and are collected from inpatient hospital discharge records. This measure includes hospitalizations with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppressed for counties with fewer than five visits to protect confidentiality. However, counties with zero cases are not suppressed. The crude rate is the number of hospitalizations divided by the total number of people in the population of interest (for example, a county). This is expressed as a number per unit population, such as "per 10,000 population." A crude rate does not take into account the differences in age distributions across counties and are therefore subject to bias. Use age-adjusted rates for a better standardized measure.

Asthma hospitalizations age-adjusted rates per 10,000 people

These data include hospitalizations for asthma and are collected from inpatient hospital discharge records. This measure includes hospitalizations with an ICD-9 code of 493 or ICD-10 code of J45 in the principal diagnosis field. Data are suppresses data for counties with fewer than five visits per 10,000 to protect confidentiality. However, counties with zero cases are not suppressed. An age-adjusted rate is a rate that is statistically modified to eliminate the potential biasing effect of different age distributions across different populations. In other words, the age-adjusted rate accounts for the possibility that emergency department visits for asthma may be more frequent among younger individuals and some counties have more younger individuals than others. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Average daily count

Read frequently asked questions about the birth defects data

Anencephaly

Count

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). Cases were then summed over five-year periods. In 2011, there was a change in the way birth defects were counted, so caution should be used when comparing data from 2004-2010 to data from 2011 onward.

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Cleft lip without cleft palate

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Cleft lip with cleft palate

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Cleft palate without cleft lip

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Gastroschisis

Note: Prior to 10/1/2009, gastroschisis shared an ICD-9 code with omphalocele. Due to the inability to distinguish between those two conditions during that time, gastroschisis data are not available until 2010.

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Hypoplastic left heart syndrome

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Hypospadias

Count

Crude rate per 10,000 male live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Limb deficiencies combined

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Tetralogy of Fallot

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Transposition of the great arteries (vessels)

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Trisomy 21 (Down Syndrome)

Count

Crude rate per 10,000 live births

Data came from Wisconsin vital records and hospital records. Birth defects were identified using the International Classification of Diseases, Tenth Revision (ICD-10) with specifications set by the National Birth Defects Prevention Network ( NBDPN (opens external link)). This is a five-year crude rate. Rates were calculated by dividing the count by the number of live births in Wisconsin in those years and multiplied by 10,000. Rates were suppressed if the count was three or less over a five-year time period to avoid unstable rates. However, rates with zero cases are not suppressed.

Read frequently asked questions about the cancer data

Bladder cancer

Number of new bladder cancer cases: all ages

Counts of new bladder cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of bladder cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of bladder cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Cancer of the brain and central nervous system

Number of new brain and central nervous system cancer: ages 0-19

Counts of new brain and central nervous system cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of brain and central nervous system cancer per 1,000,000 people: ages 0-19

Incidence rates are calculated from the annual number of new cases (counts) of cancer of the brain and central nervous system reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Number of new brain and central nervous system cancer: all ages

Age-adjusted incidence rates of brain and central nervous system cancer per 100,000 people: all ages

Cancer of the esophagus

Number of new esophagus cancer cases: all ages

Counts of new esophagus cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of esophagus cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of esophagus cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Female breast cancer

Number of new female breast cancer cases: ages 0-49

Counts of new female breast cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of female breast cancer per 100,000 people: ages 0-49

Incidence rates are calculated from the annual number of new cases (counts) of female breast cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Number of new female breast cancer cases: ages 50+

Age-adjusted incidence rates of female breast cancer per 100,000 people: ages 50+

Kidney and renal pelvis cancer

Number of new kidney and renal pelvis cancer cases: all ages

Counts of new kidney and renal pelvis cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of kidney and renal pelvis cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of kidney renal and pelvis cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Cancer of the larynx

Number of new larynx cancer cases: all ages

Counts of new larynx cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of larynx cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of larynx cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Leukemia

Number of leukemia: ages 0-19

Counts of new leukemia cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence leukemia per 1,000,000 people: ages 0-19

Incidence rates are calculated from the annual number of new cases (counts) of leukemia reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Number of leukemia: all ages

Age-adjusted incidence rates of leukemia per 100,000 people: all ages

Acute lymphocytic leukemia

Number of acute lymphocytic leukemia: all ages

Counts of new acute lymphocytic leukemia cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of acute lymphocytic leukemia per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of acute lymphocytic leukemia reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Acute myeloid leukemia

Number of acute myeloid leukemia: all ages

Counts of new acute myeloid leukemia cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of acute myeloid leukemia per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of acute myeloid leukemia reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Chronic lymphocytic leukemia

Number of chronic lymphocytic leukemia: all ages

Counts of new chronic lymphocytic leukemia cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of chronic lymphocytic leukemia per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of chronic lymphocytic leukemia reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Lung and bronchus cancer

Number of new lung and bronchus cancer cases: all ages

Counts of new lung and bronchus cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of lung and bronchus cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of lung and bronchus cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Liver cancer

Number of new liver cancer cases: all ages

Counts of new liver cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of liver cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of liver cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Non-Hodgkin's lymphoma

Number of new non-Hodgkin's lymphoma cases: all ages

Counts of new non-Hodgkin's lymphoma cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of non-Hodgkin's lymphoma per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of non-Hodgkin's lymphoma reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Melanoma

Number of new melanoma cases: all ages

Counts of new melanoma cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of melanoma per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of melanoma reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Mesothelioma

Number of new mesothelioma cases: all ages

Counts of new mesothelioma cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of mesothelioma per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of mesothelioma reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Cancer of the oral cavity and pharynx

Number of new oral cavity and pharynx cancer cases: all ages

Counts of new oral cavity and pharynx cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of oral cavity and pharynx cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of oral cavity and pharynx cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Cancer of the pancreas

Number of pancreatic cancer cases: all ages

Counts of new pancreatic cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of pancreatic cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of pancreatic cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Thyroid cancer

Number of thyroid cancer cases: all ages

Counts of new thyroid cancer cases are reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin for a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality. However, counties with zero cases are not suppressed.

Age-adjusted incidence rates of thyroid cancer per 100,000 people: all ages

Incidence rates are calculated from the annual number of new cases (counts) of thyroid cancer reported to the Wisconsin Cancer Reporting System by health care providers in Wisconsin during a given year. Data for counties with fewer than six cases are suppressed to protect confidentiality and improve rate stability. However, counties with zero cases are not suppressed. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Read frequently asked questions about the carbon monoxide poisoning data

Carbon monoxide poisoning emergency department visits

Number of emergency department visits for carbon monoxide poisoning (counts)

These data include emergency department visits for carbon monoxide poisoning and are collected from emergency room visit discharge records. This measure includes emergency department visits with an ICD-9 code of 986, E868.2, E868.3, E868.8, E868.9, E982.0, or E982.1 or an ICD-10 code of T58.01, T58.04, T58.11, T58.14, T58.2X1, T58.2X4, T58.8X1, T58.8X4, T58.91 or T58.94 in the principal or other diagnosis fields. Records of intentional or purposeful CO poisoning are excluded. These data include three categories of carbon monoxide poisoning causes:

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are not suppressed for this measure. Please note that counts are a statistically limited way to consider emergency department visits because they do not allow for accurate comparison between counties. Counties with higher populations, such as Milwaukee, will have more emergency department visits simply because they have more people. An age-adjusted rate is a better measure for true comparison between counties.

Crude rates per 100,000

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed when there are fewer than five visits to improve rate stability. However, rates with zero cases are not suppressed. The crude rate is the number of emergency department visits divided by the total number of people in the area of interest (for example, a county). This is expressed as a number per unit population, such as "per 100,000 population." The crude rate does not take into account the differences in age distributions across counties and are therefore subject to bias. Use age-adjusted rates for a better standardized measure.

Age-adjusted rates per 100,000

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed when there are fewer than five visits to improve rate stability. However, rates with zero cases are not suppressed. An age-adjusted rate is a rate that is statistically modified to eliminate the potential biasing effect of different age distributions across different populations. In other words, the age-adjusted rate accounts for the possibility that emergency department visits for carbon monoxide may be more frequent among younger individuals and some counties have more younger individuals than others. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Carbon monoxide poisoning hospitalizations

Number of hospitalizations for carbon monoxide poisoning (counts)

These data include hospitalizations for carbon monoxide poisoning and are collected from inpatient hospital discharge records. This measure includes hospitalizations with an ICD-9 code of 986, E868.2, E868.3, E868.8, E868.9, E982.0, or E982.1 or an ICD-10 code of T58.01, T58.04, T58.11, T58.14, T58.2X1, T58.2X4, T58.8X1, T58.8X4, T58.91 or T58.94 in the principal or other diagnosis fields. Records of intentional or purposeful CO poisoning are excluded. These data include three categories of carbon monoxide poisoning causes:

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are not suppressed for this measure. Please note that counts are a statistically-limited way to consider hospitalizations because they do not allow for accurate comparison between counties. Counties with higher populations, such as Milwaukee, will have more hospitalizations simply because they have more people. An age-adjusted rate is a better measure for true comparison between counties.

Crude rates per 100,000

These data include hospitalizations for carbon monoxide poisoning and are collected from inpatient hospital discharge records. This measure includes hospitalizations with an ICD-9 code of 986, E868.2, E868.3, E868.8, E868.9, E982.0, or E982.1 or an ICD-10 code of T58.01, T58.04, T58.11, T58.14, T58.2X1, T58.2X4, T58.8X1, T58.8X4, T58.91 or T58.94 in the principal or other diagnosis fields. Records of intentional or purposeful CO poisoning are excluded.. These data include three categories of carbon monoxide poisoning causes:

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed when there are fewer than five visits to improve rate stability. However, rates with zero cases are not suppressed. The crude rate is the number of hospitalizations divided by the total number of people in the population of interest (for example, a county). This is expressed as a number per unit population such as "per 10,000 population." A crude rate does not take into account the differences in age distributions across counties and are therefore subject to bias. Use age-adjusted rates for a better standardized measure.

Age-adjusted rates per 100,000

These data include hospitalizations for carbon monoxide poisoning and are collected from inpatient hospital discharge records. This measure includes emergency department visits with an ICD-9 code of 986, E868.2, E868.3, E868.8, E868.9, E982.0, or E982.1 or an ICD-10 code of T58.01, T58.04, T58.11, T58.14, T58.2X1, T58.2X4, T58.8X1, T58.8X4, T58.91 or T58.94 in the principal or other diagnosis fields. Records of intentional or purposeful CO poisoning are excluded. These data include three categories of carbon monoxide poisoning causes:

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed when there are fewer than five visits to improve rate stability. However, rates with zero cases are not suppressed. An age-adjusted rate is a rate that is statistically modified to eliminate the potential biasing effect of different age distributions across different populations. In other words, the age-adjusted rate accounts for the possibility that hospitalizations for asthma may be more frequent among younger individuals and some counties have more younger individuals than others. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Carbon monoxide poisoning mortality

Number of deaths from carbon monoxide poisoning (counts)

These data include deaths from carbon monoxide poisoning and are collected from the National Vital Statistics System from the National Center for Health Statistics. These data include three categories of carbon monoxide poisoning causes:

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed for counties with nine or fewer (including zero) per 100,000 to protect confidentiality. Please note that counts are a statistically limited way to consider deaths because they do not allow for accurate comparison between counties. Counties with higher populations, such as Milwaukee, will have more deaths simply because they have more people. An age-adjusted rate is a better measure for true comparison between counties.

Crude rates per 100,000

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed for counties with nine or fewer (including zero) per 100,000 to protect confidentiality. The crude rate is the number of deaths divided by the total number of people in the population of interest (for example, a county). This is expressed as a number per unit population, such as "per 10,000 population." A crude rate does not take into account the differences in age distributions across counties and are therefore subject to bias. Use age-adjusted rates for a better standardized measure.

Age-adjusted rates per 100,000

Unintentional, non-fire related;
Unintentional, fire-related; and
Unknown intent.

Data are suppressed for counties with nine or fewer (including zero) per 100,000 to protect confidentiality. An age-adjusted rate is a rate that is statistically modified to eliminate the potential biasing effect of different age distributions across different populations. In other words, the age-adjusted rate accounts for the possibility that carbon monoxide poisoning deaths may be more frequent among younger individuals and some counties have more younger individuals than others. Direct age-adjustment is conducted using the 2000 U.S. standard population.

Flood vulnerability

Number of housing units within FEMA Designated Special Flood Hazard Area (SFHA)

These data provide estimates of the number of housing units within the SFHA. The SFHAs have 1% annual chance of coastal or riverine flooding. The population distribution was derived using 2010 census block group data in conjunction with 2010 LandScan Nighttime Population raster dataset (Bhaduri, et al., 2007), aggregated to the county level using a Geographic Information System (GIS). The ratio of population distribution was used to determine housing unit distribution at census block group level, which was then aggregated to the county level. The 2011 National Flood Hazard Layer, a national-level digital flood hazard database created by Federal Emergency Management Agency (FEMA), was used to calculate the flood hazard area.

Number of people within FEMA Designated Special Flood Hazard Area (SFHA)

These data provide estimates of the number of people within the SFHA. The SFHAs have 1% annual chance of coastal or riverine flooding. In order to estimate population, 2010 census block group data (assuming uniform population distribution among counties) were overlaid with the digital coastal flood hazard database using a Geographic Information System (GIS). Additionally, census block group-level measures were derived from the 2010 LandScan Nighttime Population raster dataset and aggregated to the county level. The 2011 National Flood Hazard Layer, a national-level digital flood hazard database created by FEMA, was used to calculate the flood hazard area.

Number of square miles within FEMA Designated Special Flood Hazard Area (SFHA)

These data provide areal (square miles) estimates of the SFHA with a 1% annual chance of coastal or riverine flooding, per county. This is sometimes referred to as the “100 year” flood zone. The 2011 National Flood Hazard Layer, a national-level digital flood hazard database created by FEMA, was used to calculate the flood hazard area.

Percent area (square miles) within FEMA Designated Special Flood Hazard Area (SFHA)

These data provide county estimates of the percentage of total area within the SFHA. The SFHAs have 1% annual chance of coastal or riverine flooding. The 2011 National Flood Hazard Layer, a national-level digital flood hazard database created by FEMA, was used to calculate the flood hazard area.

Percent of hospital beds within a flood hazard area

Hospital data were obtained from the 2016 American Hospital Association (AHA) Annual Survey. A Geographic Information System (GIS) was used to identify hospitals within a FEMA-designated flood hazard zone. The National Flood Hazard Layer (NFHL) does not have national coverage. Therefore, percentage of hospital beds in flood hazard areas is not available for all counties.

Percent of hospitals within a flood hazard area

Households

Number of housing units

Data provided by the U.S. Census Bureau, American Factfinder, American Community Survey (ACS) five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of housing units with 10 or more units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of housing units with more people than rooms

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of housing units with no vehicle available

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of mobile homes housing units

Data provided by the U.S. Census Bureau, American Factfinder,ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of population living in group quarters

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of renter-occupied housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Number of vacant housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of housing units with more people than rooms

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of housing units with no vehicle available

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of mobile homes housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of renter-occupied housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of vacant housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of vacant housing units

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)

Percent of population living in group quarters

Data provided by the U.S. Census Bureau, American Factfinder, ACS five-year estimates. Read more about the Census ACS methodology. (opens external link)