Zeta

- Cypermethrin ( 129064 )

Screening Level Usage Analysis (SLUA)

Date: October 31 , 2011

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 present ed 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 U.S. states that produce 80% or more of a crop, 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 ap plied

- 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 a re

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, & ro unding 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?

**•** USDA

- NASS (United States Department of Agriculture’s National Agricultural Statistics Service)

– pesticide usage data from 200 3 to 20 10

.

**•** Private pesticide market research

– pesticide usage data from 200 3 to 20 10

.

**•** California Department of Pesticide Regulation (DPR) Pesticide Use Reporting (PUR) data for

200 6 to 200 9

. 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 S ection 18 requests, existing stocks of the chemical,

data collection errors, and experimental use permits (EUPs).Monday , October 31 , 2011

Screening Level Estimates of Agricultural Uses of Zeta

- Cypermethrin(129064)

Sorted Alphabetically

Percent Crop Ttd.

Crop Lbs. A.I. Avg. Max.

1 Alfalfa 1 5 ,000 <2.5 5

2 Almonds <500 <1 <2.5

3 Apples <500 <1 <2.5

4 Beans, Green 2,000 15 20

5 Broccoli 2,000 20 30

6 Brussels Sprouts * <500 N/C N/C

7 Cabbage <500 1 5 3 0

8 Caneberries <500 25 40

9 Canola/Rapeseed <500 <1 <2.5

10 Cantaloupes <500 5 15

11 Carrots <500 <2.5 10

1 2 Cauliflower <500 1 5 25

1 3 Celery 1,000 35 60

14 Cherries <500 5 5

1 5 Chicory * <500 N/C N/C

1 6 Corn 10,000 <1 <2.5

1 7 Cotton 15 ,000 5 10

1 8 Cucumbers <500 <2.5 5

1 9 Dry Beans/Peas 2,000 5 10

20 Garlic <500 25 55

2 1 Grapefruit 2 ,000 35 5 0

2 2 Lemons <500 <1 <2.5

2 3 Lettuce 1 5 ,000 5 5 6 5

2 4 Onions 2,000 2 5 30

2 5 Oranges 2 0,000 3 5 4 5

2 6 Peaches <500 < 2.5 5

2 7 Peanuts <500 <1 5

2 8 Peas, Green <5 00 10 15

2 9 Pecans 1 ,000 5 10

30 Peppers 1,000 1 5 3 0

3 1 Potatoes <500 <1 5

3 2 Pumpkins <500 <2.5 5

3 3 Rice 6,000 10 10

3 4 Sorghum 2,000 <2.5 <2.5

3 5 Soybeans 1 5 ,000 < 2.5 <2.5

3 6 Spinach 1,000 30 45

3 7 Squash <500 5 10

3 8 Sugar Beets 4,000 1 5 203 9 Sugarcane <500 <2.5 <2.5

40 Sunflowers 2 ,000 <2.5 5

4 1 Sweet Corn 5 ,000 15 20

4 2 Tomatoes 1,000 5 10

4 3 Walnuts <500 <1 <2.5

4 4 Watermelons <500 <2.5 10

4 5 Wheat 5 ,000 <2.5 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

N/C Only Lbs. A.I. available

* Based on CA DPR data only ( valid because 95% or more of U.S. acres grown are in California)

SLUA data sources include:

USDA

- NASS (United States Department of Agriculture's National Agricultural Statistics Service)

Private Pest icide Market Research

California DPR (Department of Pesticide Regulation)

These results reflect amalgamated data developed by the Agency and are releasable to the public.