Document ID: EPA-HQ-OPP-2016-0039-0004
Agency: epa
Document Type: Supporting & Related Material
Title: 
Posted Date: 2016-11-03T04:00Z

Aliphatic Solvents (Case 3004*)
                     Screening Level Usage Analysis (SLUA)
                                Date: 2/4/2015

What is a Screening Level Usage Analysis (SLUA)?
 Available estimates of pesticide usage data for a particular active ingredient that is used on agricultural crops in the United States.
 Pesticide usage data obtained from various sources.  The data are then merged, averaged, and rounded so that the presented information is not proprietary, business confidential, or trade secret. 
What does it contain?
 Pesticide usage data for a single active ingredient only.
 Agricultural use sites (crops) that the pesticide is reported to be used on. 
 Available pesticide usage information from states that produce 80% of crop acres planted in the United States, in most cases, or less than 80%, in rare cases, depending on the scope of the survey and available resources.
 Annual percent of crop treated (average & maximum) for each agricultural crop.
 Average annual pounds of the pesticide applied for each agricultural crop (i.e., for the states surveyed, not for the entire United States).
What assumptions can I make about the reported data?
 Average pounds of active ingredient applied - Values are calculated by merging pesticide usage data sources together; averaging across all observations, then rounding.  Note:  If the estimated value is less than 500, then that value is labeled <500.  Estimated values between 500 & <1,000,000 are rounded to 1 significant digit.  Estimated values of 1,000,000 or greater are rounded to 2 significant digits.)
 Average percent of crop treated - Values are calculated by merging data sources together; averaging by year, averaging across all years, & rounding to the nearest multiple of 5.  Note:  If the estimated value is less than 2.5, then the value is labeled <2.5.  If the estimated value is less than 1, then the value is labeled <1.
 Maximum percent of crop treated - Value is the single maximum value reported across all data sources, across all years, & rounded up to the nearest multiple of 5.  Note:  If the estimated value is less than 2.5, then the value is labeled <2.5.
What are the data sources used?
 United States Department of Agriculture's National Agricultural Statistics Service (USDA-NASS)  -  pesticide usage data from 2005 to 2014.  NASS data are based on surveys that focus on the top-producing states that together account for the majority of U.S. acres or production of the surveyed commodity.  NASS aims to cover at a minimum 80 percent of the targeted fruit, vegetable, and field crop acres planted in the United States. Farm level data are combined during summary and, pending compliance with disclosure rules, published at the state and national levels.  NASS collects agricultural usage data for various crops on a rotating schedule.
 Private pesticide market research  -  pesticide usage data from 2005 to 2013.  The Private Pesticide Market Research data is also a survey that covers pesticide usage on agricultural crops.  The survey data accounts for at least 80 percent of US acres/production of the surveyed commodities.  Surveys are conducted annually.
 California Department of Pesticide Regulation (DPR) Pesticide Use Reporting (PUR) data for 2005 to 2012. The PUR database contains detailed records and summaries of agricultural applications of pesticides on crops that are obtained from a census and published annually.
What are the limitations to the data?
 Additional registered uses may exist but are not included because the available surveys do not report usage (e.g., small acreage crops).
 Lack of reported usage data for the pesticide on a crop does not imply zero usage.
 Usage data on a particular site may be noted in data sources, but not quantified.  In these instances, the site would not be reported in the SLUA.
 Non-agricultural use sites (e.g., turf, post-harvest, mosquito control, etc.) are not reported in the SLUA.  A separate request must be made to receive these estimates.
 Some sites show some use, even though they are not on the label.  This usage could be due to various factors, including, but not limited to Section 18 requests, existing stocks of the chemical, data collection errors, and experimental use permits (EUPs).  
                                4 February 2016
Screening Level Estimates of Agricultural Uses of Aliphatic Solvents (Case 3004*)
             Sorted Alphabetically  -  Reporting Time:  2005-2014
                                       
                                       
                                       
                             Percent Crop Treated
                                     Crop
                               Average Lbs. A.I.
                               Applied per Year
                                    Average
                                    Maximum
                                       1
Almonds
                                  13,700,000
          55
          70
                                       2
Apples
                                   7,800,000
          60
          75
                                       3
Apricots
                                    300,000
          60
          90
                                       4
Artichokes
                                     2,000
          75
         100
                                       5
Avocados
                                    400,000
          25
          55
                                       6
Beans, Green
                                     4,000
          <1
        <2.5
                                       7
Blueberries
                                    20,000
           5
          10
                                       8
Broccoli
                                     1,000
          <1
        <2.5
                                       9
Brussels Sprouts
                                    <500
        <2.5
        <2.5
                                      10
Cabbage
                                    20,000
        <2.5
        <2.5
                                      11
Caneberries
                                    50,000
          10
          20
                                      12
Cantaloupes
                                     7,000
        <2.5
        <2.5
                                      13
Cauliflower
                                     4,000
        <2.5
        <2.5
                                      14
Celery
                                     3,000
          15
          25
                                      15
Cherries
                                   1,900,000
          40
          55
                                      16
Cotton
                                    200,000
          <1
        <2.5
                                      17
Cucumbers
                                    10,000
          <1
        <2.5
                                      18
Dates
                                    <500
           5
          10
                                      19
Dry Beans/Peas
                                     1,000
          <1
        <2.5
                                      20
Figs
                                     7,000
          30
          65
                                      21
Garlic
                                     1,000
          10
          25
                                      22
Grapefruit
                                   4,100,000
          80
          95
                                      23
Grapes
                                   2,100,000
          15
          20
                                      24
Hazelnuts
                                    40,000
           5
          15
                                      25
Kiwifruit
                                     7,000
          20
          35
                                      26
Lemons
                                   1,900,000
          45
          80
                                      27
Lettuce
                                     9,000
          <1
        <2.5
                                      28
Nectarines
                                    500,000
          40
          45
                                      29
Olives
                                    60,000
          15
          25
                                      30
Onions
                                    20,000
          <1
        <2.5
                                      31
Oranges
                                  34,100,000
          70
          80
                                      32
Peaches
                                   2,600,000
          60
          70
                                      33
Pears
                                   3,600,000
          90
         100
                                      34
Peas, Green
                                    <500
          <1
        <2.5
                                      35
Pecans
                                    90,000
        <2.5
           5
                                      36
Peppers
                                    40,000
           5
          10
                                      37
Pistachios
                                    800,000
          10
          40
                                      38
Plums/Prunes
                                   1,900,000
          55
          80
                                      39
Pluots
                                     6,000
         105
         100
                                      40
Pomegranates
                                     6,000
          10
          45
                                      41
Potatoes
                                     6,000
          <1
        <2.5
                                      42
Pumpkins
                                     2,000
          <1
        <2.5
                                      43
Squash
                                    100,000
          10
          30
                                      44
Strawberries
                                     8,000
        <2.5
        <2.5
                                      45
Sweet Corn
                                    10,000
          <1
        <2.5
                                      46
Tangelos
                                    200,000
          70
          85
                                      47
Tangerines
                                    800,000
          40
          55
                                      48
Tomatoes
                                    60,000
        <2.5
           5
                                      49
Walnuts
                                    300,000
           5
          15
                                      50
Watermelons
                                     8,000
          <1
        <2.5

All numbers rounded.
                                                                        <500
Less than 500 pounds of active ingredient
                                                                        <2.5
Less than 2.5 percent of crop treated
                                                                          <1
Less than 1 percent of crop treated

	SLUA data sources include: 
  USDA-NASS (United States Department of Agriculture's National Agricultural Statistics Service) 
Private Pesticide Market Research
  California DPR (Department of Pesticide Regulation)
  
These results reflect amalgamated data developed by the Agency and are releasable to the public.

* This report contains compiled results for the Aliphatic Solvents Case 3004. This case initially contained five PC Codes: 063501, 063502, 063503, 063506, and 505200, each of which has a number of synonyms. Some of these synonyms apply to more than one PC Code. Additionally, three of these PC Codes (065301, 063506, and 505200) no longer have any active registrations, but data is still reported for some of their synonyms. Because of the nature of our how our databases collect and store usage data, it is not possible to accurately separate the usage data for these AIs. Therefore, this SLUA queried and compiled data for all five PC Codes and their synonyms. 

The data above represents the combined usage of following chemical synonyms: 
       Kerosene
       Mineral oil
       Mineral oil, petroleum distillates, solvent refined
       Petroleum distillate
       Petroleum distillates
       Petroleum distillates, aliphatic
       Petroleum distillates, refined
       Petroleum hydrocarbons
       Petroleum oil
       Petroleum oil, paraffin based
       Petroleum oil, unclassified