# 7.6-1 

# SECTION 7.6

LIVESTOCK HUSBANDRY

(Revised May 2004)



# METHODS AND SOURCES
This method provides estimates of the 2000 total organic gas (TOG) and reactive organic gas (ROG) emissions produced by dairy cattle, range cattle, poultry, swine, sheep, goats, and horses. PM10 emissions from confined beef and dairy cattle operations are also estimated. The emissions from composting and land application of livestock wastes are not included in this methodology. For each category, the emissions are calculated by multiplying a per animal emission factor by the population of each animal type. The livestock emissions are provided by air district and county in Tables 1 and 2. Note that the previous version of this methodology, updated March 1989, only included the fugitive dust emission from beef cattle feedlots.
Population. Livestock emissions are assumed to be directly related to animal population. Most animal population data is based on annual sales data. For dairy cattle, range cattle, and feedlot cattle, year 2000 population was derived from the California Department of Food and Agriculture’s (CDFA) summary of cattle and calves inventory of January 1, 2001 1 

# . The populations for other six categories are compiled by combining the 1997 Agricultural Census Data 2 

# , developed by the United States Department of Agriculture, and the CDFA 2001 Agricultural Resources Directory. In addition, animal population was adjusted for residency time. This is needed because most livestock population data are based on annual sales data, but for emission estimates, it is important to approximate how many animals are present at a moment in time. EMISSION INVENTORY SOURCE CATEGORY Miscellaneous Processes / Farming Operations
EMISSION INVENTORY CODES (CES CODES) AND DESCRIPTION

620-618-0262-0101 Livestock Husbandry – Dairy Cattle 620-618-0262-0102 Livestock Husbandry – Range Cattle 620-618-0262-0103 Livestock Husbandry – Feedlot Cattle 620-618-0262-0104Livestock Husbandry – Poultry, Broilers 620-618-0262-0105 Livestock Husbandry – Poultry, Layers 620-618-0262-0106 Livestock Husbandry – Poultry, Turkeys 620-618-0262-0107 Livestock Husbandry – Swine 620-618-0262-0108 Livestock Husbandry – Sheep 620-618-0262-0109 Livestock Husbandry – Horses 620-618-0262-0110 Livestock Husbandry – Goats and Others

# 7.6-2 Due to variations in animal age, diet, housing, and waste management, animals within a single animal class have different emission potentials. To refine the emission estimates, the livestock populations were split into subcategories, which can then be assigned unique emission rates as they become available. The details of how livestock populations were estimated based on the CDFA data and census data are explained in the ARB background document of the population methodology 3 

# . The populations for each county are given in Table 3 and 4.

Emission Factors – ROG and TOG. Currently, there are not TOG or ROG emission factors for livestock that are based on recent or California specific test data. However, even in the absence of high quality emission factors, it is necessary to estimate livestock TOG and ROG emissions to meet regulatory requirements. The current emission estimates are intended as placeholders to help begin identifying the gross magnitudes of livestock air emissions.
To estimate the reactive portion of the total organic gas, a TOG to ROG scaling factor is needed. The current assumption is that 8% of the TOG is reactive, which is based on an undocumented livestock speciation profile published by U.S. EPA6 

# . There is substantial disagreement and controversy about this assumption. Some believe that the number should be closer to 1%, similar to some other biological decomposition processes. However, limited testing at dairies in California shows ROG fractions that are both greater and less than 8%, depending on the sampling location and other conditions. The interim TOG and ROG emission factors are shown in the Table A below.
To improve the current emission factor and reactivity deficiencies, livestock emissions research is ongoing. It is anticipated that improved dairy emission rate data will be available in mid-2005, and updated poultry data in early 2005. New data will be incorporated as it becomes available. If additional information is needed regarding ongoing research efforts or specific issues regarding the current emission factors, substantial additional documentation is available through the ARB.
Table A. Livestock Subcategories and Emission Factors
Emission Factors 5,7,8


### Category Subcategory TOG (lb/head/

year) 

### ROG a 

### (lb/head/

year) 

### PM10 (lb/1000

head/ day) 

### Dairy Cattle Dairy Cows, Dairy Bulls, Dairy Heifers, Dairy Calves 160 b

### 12.8 b

### 6.7 c


### Range Cattle Beef Cows, Beef Bulls, Beef Heifers, Beef Calves, Stockers 160 b

### 12.8 NA

Feedlot Cattle Feeders 160 12.8 28.9 Swine Swine 58 4.6 NA Poultry Turkey, Broilers, Layers 2.4 0.19 NA Sheep Sheep and Lamb 12 0.96 NA Goats Goats 12 0.96 NA Horses Horses 84 6.7 NA

a 

### ROG = TOG x 8% for all sources.
b 

### The same TOG and ROG emission factors are applied to all cattle subclasses.

# 7.6-3 C 

### Dairy PM10 emission factor applied to producing dairy cows only because

emissions from support animals are included in the factor.



# Emission Factors – PM10. Livestock emission factors for PM10 are only available for cattle feedlots and dairies. The feedlot PM10 cattle emission factor is 28.9 lbs PM10/1000 head/day. This is from a study published by the University of California, Davis, during August 2001 7



# . For dairy cattle, a PM10 emission factor of 6.72 lbs PM 10 

# /1000 head/day for California dairies is used. This factor is derived from an emission factor of 4.4 lbs PM10/1000 lactating head/day, developed by Texas A&M 8 

# . To make the Texas emission factor more California specific, it was multiplied by a scaling factor. The scaling factor was based on the ratio of the California feedlot PM10 emission factor to a Texas feedlot PM10 emission factor. This ratio is 29:19, which converts to a multiplier of 1.53 and produces a dairy emission factor of 6.72 lbs PM 10 

# /1000 head/day for California dairies. In addition, the dairy PM10 emission factor is only applied to the milking cows (the ‘Cows’ column in Table 3) because the emission factor includes the emissions from the support animals.

ASSUMPTIONS

x Population data and residence time data adequately represent average animal population values for each county

x For all livestock, 8% of the total organic gas is reactive

x All animals within a single class produce the same emissions (e.g., dairy cows, calves, and heifers each produce 160 lbs TOG/head/year)

x For cattle, the TOG emission factor is based on a chamber study performed in 1938. The study does not include the emissions from waste handling operations. For this analysis, it is assumed that the TOG emission factor for all animals includes all emission sources for each animal type including emissions directly from the animal, as well as waste handling operations.

x For cattle, the 1938 study measured methane emissions, which were later misquoted as TOG emissions. For this analysis, the measured methane emissions are assumed to equal the TOG emissions.

x It is assumed that all dairies or feedlots produce the same PM10 emissions on a per-head basis.

x For dairies, the baseline PM10 emission factor includes the effects of support stock such as calves and heifers. This is because the emissions testing included these animals within its analysis.

x For feedlots, the baseline PM10 emission factor represents the population mix at a typical feedlot.

x The method does not include emissions for animal waste composting or land application.

# 7.6-4 TEMPORAL ACTIVITY
The temporal activity is assumed to occur seven days a week and 24 hours a day. Due to insufficient temporal information, it is assumed that air emissions occur evenly throughout the year. This will be updated as new data becomes available.
Hours Days Weeks

24 7 52

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3

COMMENTS AND RECOMMENDATIONS
This method lays the groundwork for substantially improved livestock emission estimates. The livestock categories are now split by animal type, assisting both industry and regulators in identifying the most significant livestock emission sources. Additional improvements are needed to create estimates that are more complete and more specific to animal types. To better understand dairy emissions, a multi-year research effort is underway that is coordinated by members of the regulatory community, industry, and academics. A similar effort is underway for the poultry industry.
As with any ARB area source methodology, the air districts have the flexibility to implement their own methodology, with the assumption that the district method uses information that better represents the local conditions and emission levels.

CHANGES IN METHOD AND EMISSION ESTIMATES
This is a new method. Previously, some districts estimated livestock emissions, but this was done inconsistently, and there is limited documentation regarding the methods used. New EICs (Emission Inventory Codes) were developed for each significant livestock classification, allowing emissions for each livestock classification to be individually stored in the statewide database. In addition, new statewide population estimates were developed for all livestock categories.

SUGGESTED GROWTH SURROGATES
The growth rate varies by county and by livestock and there is currently not a general surrogate to indicate the livestock growth or decline. In most cases, zero growth is assumed for livestock emissions, which is probably reasonable for most areas in the state. However, because of known dairy growth in the region, the ARB worked specifically with the San Joaquin Valley Unified Air Pollution Control District and the dairy industry to develop dairy growth profiles for the SJV counties.
There are no control assumptions applied to this category.

# 7.6-5 SAMPLE CALCULATIONS To estimate TOG emissions from livestock husbandry in Fresno County, the following method is used:
Step 1: Population of subcategory. From Table 3 and 4, for Fresno county Dairy cows population = 1,890,240
Step 2: Emission factor. From Table A. Emission factor for Dairy Cows = 160 lbs TOG/head/year
Step 3: Emissions. Emissions for Dairy Cows = Dairy cows population x Emission factor = (1,890,240 x 160)/2000 = 151,219 tons/TOG/year
Step 4: Total Emissions. Repeat for each animal class and sum to get district total.

# 7.6-6 REFERENCES
1. California Department of Food and Agriculture, 2001 Agricultural Resource Directory. http://www.cdfa.ca.gov/card/card_new02.htm
2. United States Department of Agriculture, 1997 Agricultural Census. http://www.nass.usda.gov/census/
3. Hong Yu, Livestock Husbandry Background Document -- Livestock Population Methodology. December 2002.
4. U.S. Environmental Protection Agency, Emissions from Animal Feeding Operations (Draft). August 2001.
5. Dickson, Ronald J., Radian Corporation, Evaluation of Emissions From Selected Uninventoried Sources in the State of California, prepared for the California Air Resources Board, April 29, 1988, Section 5.0
6. U.S. EPA (1980) Volatile Organic Compound (VOC) Species Data Manual, Second Edition, EPA-450/4-80-015, July 1980

7. Sources and Sinks of PM 10 

# in the San Joaquin Valley, Interim Report. Flocchini, R.G., James, T.A., et. al., August 10, 2001. Air Quality Group, Crocker Nuclear Laboratory, University of California, Davis. Table 6.1.
8. Preliminary PM10 Emission Factor for Freestall Dairies, Goodrich, L.B., Parnell, C.B., Mukhtar, S., Lacey, R.E., Shaw, B.W., Department of Biological and Agricultural Engineering, Texas A&M University, Paper presented to the 2002 ASAE Annual International Meeting, July 2002. Paper Number: 0242148

UPDATED BY
Patrick Gaffney May 2004 pgaffney@arb.ca.gov

Revisions 1/02/2003 – Population and emission tables updated to reflect reapportionment of population in South Coast and other regions with counties split by air basin or district lines. 5/5/2004 – Added PM10 estimates for dairies and feedlots. 11/15/2004 – In Sample Calculations section, corrected ROG to be TOG.

# 7.6-7

# 7.6-8 TABLE 1

Livestock Husbandry – 2000 Total Organic Gas Emissions

TOG (tons/year)
Cattle Poultry Other

Air Basin District County Dairy Range Feedlot Broiler Layer & Pullets Turkey Swine Sheep Horse Goat GBV GBU Alpine 32.9 287.1 0.0 0.0 0.0 0.0 0.0 0.0 3.7 0.0 GBV GBU Inyo 64.1 1,295.9 0.0 0.0 0.3 0.0 0.3 0.9 23.6 0.0 GBV GBU Mono 57.6 502.4 0.0 0.0 0.0 0.0 28.6 46.9 14.8 0.0 GBV Total 154.6 2,085.4 0.0 0.0 0.4 0.0 28.9 47.9 42.1 0.0 LC LAK Lake 57.6 502.4 0.0 0.1 7.5 0.0 3.3 6.7 23.3 1.1 LC Total 57.6 502.4 0.0 0.1 7.5 0.0 3.3 6.7 23.3 1.1 LT ED El Dorado 9.0 78.8 0.0 0.1 0.2 0.0 0.7 1.6 8.1 0.3 LT PLA Placer 44.1 163.9 0.0 0.1 0.3 13.4 0.8 2.0 10.0 0.3 LT Total 53.1 242.7 0.0 0.2 0.5 13.4 1.4 3.5 18.1 0.6

MC AMA Amador 737.3 2,382.7 0.0 0.1 17.3 0.0 1.2 7.0 35.3 4.1 MC CAL Calaveras 184.2 1,975.8 0.0 0.5 17.6 2.6 2.4 9.1 38.6 1.5 MC ED El Dorado 65.0 567.2 0.0 0.5 1.3 0.0 4.8 11.3 58.6 2.0 MC MPA Mariposa 340.7 1,499.3 0.0 1,984.5 17.5 62.8 28.6 2.3 31.8 0.9 MC NSI Nevada 36.2 683.8 0.0 0.1 0.8 0.0 2.3 7.6 37.0 0.9 MC PLA Placer 269.5 1,001.4 0.0 0.7 2.1 82.0 4.6 12.1 60.9 1.9 MC NSI Plumas 161.3 1,038.7 0.0 0.1 0.4 0.0 3.1 3.6 17.9 0.1 MC NSI Sierra 49.4 430.6 0.0 0.0 0.0 0.0 28.6 31.2 4.6 0.0 MC TUO Tuolumne 220.5 819.5 0.0 0.0 0.2 622.5 0.8 3.4 29.2 2.2 MC Total 2,064.0 10,399.0 0.0 1,986.4 57.3 770.0 76.5 87.4 314.0 13.5 MD KER Kern 0.0 566.5 254.6 0.0 0.0 0.0 0.0 93.6 14.3 0.1 MD AV Los Angeles 38.2 310.3 0.0 120.1 1.4 0.1 7.89 17.2 80.2 0.8 MD MOJ Riverside 67.8 349.7 0.0 0.0 44.7 0.0 0.2 44.4 87.7 1.0 MD SC Riverside 67.8 349.7 0.0 0.0 44.7 0.0 0.2 44.4 87.7 1.0 MD MOJ San Bernardino 415.1 2,759.6 0.0 16.9 68.9 0.6 6.6 99.9 147.2 6.4 MD Total 588.9 4,335.8 254.6 136.9 159.7 0.7 15.0 299.5 417.1 9.2 NC NCU Del Norte 209.0 351.0 0.0 0.0 0.2 0.0 28.6 0.6 1.4 0.0 NC NCU Humboldt 2,394.1 3,285.9 0.0 0.2 0.8 0.0 18.6 28.3 59.1 2.2 NC MEN Mendocino 413.1 1,946.9 0.0 0.3 2.8 32.9 41.9 72.3 62.7 1.5 NC NS Sonoma 2,470.8 1,559.7 0.0 1,814.7 551.2 115.5 14.7 81.2 105.9 5.1 NC NCU Trinity 3.3 396.7 0.0 0.0 0.6 0.0 1.4 1.0 11.6 0.9 NC Total 5,490.2 7,540.2 0.0 1,815.2 555.5 148.5 105.2 183.3 240.8 9.7

NCC MBU Monterey 2,884.8 6,235.2 0.0 0.1 3.2 0.0 11.1 10.8 66.2 4.9 NCC MBU San Benito 580.9 2,859.1 0.0 1,984.5 170.2 127.9 12.6 21.2 52.4 0.6 NCC MBU Santa Cruz 76.7 323.3 0.0 0.1 170.2 0.0 2.5 31.2 31.9 0.7 NCC Total 3,542.4 9,417.6 0.0 1,984.7 343.6 127.9 26.2 63.2 150.5 6.2 NEP LAS Lassen 381.6 3,698.4 0.0 0.4 0.7 28.8 8.2 13.2 58.9 0.9 NEP MOD Modoc 783.1 6,096.9 0.0 0.0 0.4 31.4 2.5 65.8 56.3 1.4 NEP SIS Siskiyou 513.3 4,846.7 0.0 0.2 1.1 0.0 47.7 23.6 72.0 0.1 NEP Total 1,678.1 14,641.9 0.0 0.7 2.2 60.2 58.3 102.5 187.2 2.4 SC SC Los Angeles 152.7 618.8 0.0 480.3 5.7 0.5 31.3 34.3 159.9 1.7 SC SC Orange 163.0 317.0 0.0 0.0 17.3 0.0 28.6 0.5 60.0 0.0 SC SC Riverside 13,290.8 460.3 0.0 0.6 8,759.6 0.1 47.4 58.5 115.4 1.3 SC SC San Bernardino 20,341.6 163.7 0.0 825.8 3,375.4 28.2 325.7 5.9 8.7 0.4 SC Total 33,948.1 1,559.8 0.0 1,306.7 12,158.0 28.8 433.0 99.2 344.0 3.3

# 7.6-9 TOG (tons/year)
Cattle Poultry Other

Air Basin District County Dairy Range Feedlot Broiler Layer & Pullets Turkey Swine Sheep Horse Goat SCC SLO San Luis Obispo 1,181.5 6,258.5 0.0 1.4 10.0 0.0 23.4 132.6 197.8 1.9 SCC SB Santa Barbara 1,156.4 4,043.6 0.0 0.1 187.4 0.0 4.7 64.3 221.2 0.6 SCC VEN Ventura 258.4 781.6 0.0 0.4 1,418.7 0.1 28.6 1.8 126.3 0.9 SCC Total 2,596.3 11,083.7 0.0 1.9 1,616.0 0.2 56.7 198.7 545.3 3.3 SD SD San Diego 1,189.6 1,130.4 0.0 249.4 3,289.9 0.2 36.4 6.2 342.6 3.1 SD Total 1,189.6 1,130.4 0.0 249.4 3,289.9 0.2 36.4 6.2 342.6 3.1 SF BA Alameda 289.6 1,790.4 0.0 398.0 0.4 0.0 2.3 7.6 81.6 1.4 SF BA Contra Costa 889.9 1,350.1 0.0 0.0 0.4 0.0 1.9 1.8 106.0 2.2 SF BA Marin 1,671.7 1,448.3 0.0 0.0 0.2 67.0 28.6 80.6 30.4 0.9 SF BA Napa 111.9 608.1 0.0 1,984.5 1.1 28.8 5.3 3.1 33.8 4.7 SF BA San Francisco 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 SF BA San Mateo 0.0 240.0 0.0 0.0 0.4 0.2 1.1 0.7 47.4 0.0 SF BA Santa Clara 191.5 1,408.5 0.0 0.1 170.3 0.0 4.6 4.4 118.2 0.8 SF BA Solano 268.4 618.5 0.0 0.1 0.5 0.0 1.8 172.5 29.0 0.4 SF BA Sonoma 1,599.7 1,009.8 0.0 1,174.9 356.8 74.8 9.5 52.6 68.6 3.3 SF Total 5,022.6 8,473.8 0.0 3,557.6 530.1 170.9 55.2 323.3 515.0 13.7

SJV SJU Fresno 20,762.4 2,671.4 8,566.1 14,615.3 559.7 2,255.1 175.6 211.3 159.4 13.7 SJV SJU Kern 9,789.5 5,098.3 2,291.2 0.1 170.3 0.1 46.2 842.2 129.1 0.8 SJV SJU Kings 13,448.3 551.7 0.0 2,186.8 60.5 1,154.9 28.6 31.2 25.4 5.3 SJV SJU Madera 5,866.8 2,110.4 1,462.8 1,048.2 1.1 942.6 8.0 61.8 97.1 0.5 SJV SJU Merced 25,133.8 7,586.2 0.0 1,984.5 1,680.1 1,845.2 183.8 91.2 61.6 3.9 SJV SJU San Joaquin 12,537.5 4,662.5 0.0 485.3 3,670.6 2.7 44.4 137.7 148.3 0.7 SJV SJU Stanislaus 23,248.6 6,072.9 5,318.5 14,627.3 3,628.9 1,884.8 517.8 16.0 145.5 10.0 SJV SJU Tulare 43,369.1 4,362.9 5,068.1 3,307.4 33.8 426.1 2,705.5 381.5 107.3 4.9 SJV Total 154,156.1 33,116.2 22,706.7 38,254.8 9,805.0 8,511.4 3,710.0 1,772.9 873.7 39.8 SS IMP Imperial 24,176.8 197.2 17,786.0 0.0 0.2 0.0 5.2 1,040.3 8.3 0.0 SS SC Riverside 135.6 478.3 0.0 0.0 89.4 0.0 0.5 60.8 119.9 1.3 SS Total 24,312.5 675.5 17,786.0 0.0 89.5 0.0 5.7 1,101.0 128.2 1.3 SV BUT Butte 275.2 1,244.8 0.0 0.9 2.3 0.1 159.1 14.0 48.3 0.3 SV COL Colusa 199.1 855.1 145.8 1,984.5 170.2 0.0 6.1 45.1 18.8 1.4 SV GLE Glenn 2,407.3 3,032.7 0.0 0.1 0.4 0.0 39.9 51.0 43.6 0.9 SV PLA Placer 127.5 473.7 0.0 0.3 1.0 38.8 2.2 5.7 28.8 0.9 SV SAC Sacramento 2,728.9 2,631.1 0.0 491.7 73.2 894.4 36.6 26.6 164.3 3.1 SV SHA Shasta 302.7 3,377.3 0.0 0.3 1.4 0.1 6.3 8.9 71.7 0.9 SV YS Solano 288.4 664.7 0.0 0.1 0.5 0.1 2.0 185.4 31.2 0.5 SV FR Sutter 187.6 532.4 0.0 0.0 0.5 2.6 6.3 96.7 21.1 0.0 SV TEH Tehama 1,357.8 4,962.2 0.0 0.3 1.0 31.4 10.6 40.9 89.8 0.9 SV YS Yolo 245.2 1,034.8 0.0 0.3 0.7 0.0 32.8 143.4 58.5 0.3 SV FR Yuba 1,258.6 1,621.4 0.0 1.3 0.6 0.0 16.2 6.9 32.5 0.2 SV Total 9,378.3 20,430.1 145.8 2,479.9 251.9 967.6 318.2 624.5 608.7 9.2

Livestock TOG (tons/year)
Cattle Poultry Other

Air Basin District County Dairy Range Feedlot Broiler Layer & Pullets Turkey Swine Sheep Horse Goat Grand Total 244,232 125,635 40,893 51,774 28,867 10,800 4,930 4,920 4,751 116



### Fraction of Reactive Organic Gases (FROG): 0.08 Reactive Organic Gases (ROG) Emissions = TOG x FROG

# 7.6-10 TABLE 2 Livestock Husbandry – 2000 PM10 Emissions

PM10 = TSP x 0.4818 PM10 (tons/year) Air Basin District County Dairy Feedlot SD SD San Diego 9.8 0.0 SD Total 9.8 0.0 SF BA Alameda 0.0 0.0 SF BA Contra Costa 3.7 0.0 SF BA Marin 14.7 0.0 SF BA Napa 0.0 0.0 SF BA San Francisco 0.0 0.0 SF BA San Mateo 0.0 0.0 SF BA Santa Clara 0.0 0.0 SF BA Solano 0.9 0.0 SF BA Sonoma 15.4 0.0 SF Total 34.7 0.0

SJV SJU Fresno 109.1 564.2 SJV SJU Kern 76.0 150.9 SJV SJU Kings 159.4 0.0 SJV SJU Madera 46.6 96.3 SJV SJU Merced 245.3 0.0 SJV SJU San Joaquin 117.7 0.0 SJV SJU Stanislaus 192.5 350.3 SJV SJU Tulare 439.1 333.8 SJV Total 1385.8 1495.5 SS IMP Imperial 0.0 1171.4 SS SC Riverside 1.5 0.0 SS Total 1.5 1171.4 SV BUT Butte 1.2 0.0 SV COL Colusa 0.0 9.6 SV GLE Glenn 20.2 0.0 SV PLA Placer 0.0 0.0 SV SAC Sacramento 22.1 0.0 SV SHA Shasta 0.0 0.0 SV YS Solano 1.0 0.0 SV FR Sutter 0.0 0.0 SV TEH Tehama 6.1 0.0 SV YS Yolo 0.0 0.0 SV FR Yuba 3.7 0.0 SV Total 54.3 9.6

Grand Total 1894.2 2693.2 PM10 (tons/year) Air Basin District County Dairy Feedlot

GBV GBU Alpine 0.0 0.0 GBV GBU Inyo 0.0 0.0 GBV GBU Mono 0.0 0.0 GBV Total 0.0 0.0 LC LAK Lake 0.0 0.0 LC Total 0.0 0.0 LT ED El Dorado 0.0 0.0 LT PLA Placer 0.0 0.0 LT Total 0.0 0.0

MC AMA Amador 0.0 0.0 MC CAL Calaveras 0.0 0.0 MC ED El Dorado 0.0 0.0 MC MPA Mariposa 0.0 0.0 MC NSI Nevada 0.0 0.0 MC PLA Placer 0.0 0.0 MC NSI Plumas 0.0 0.0 MC NSI Sierra 0.0 0.0 MC TUO Tuolumne 0.0 0.0 MC Total 0.0 0.0 MD KER Kern 0.0 16.8 MD AV Los Angeles 0.0 0.0 MD MOJ Riverside 0.7 0.0 MD SC Riverside 0.7 0.0 MD MOJ San Bernardino 4.2 0.0 MD Total 5.7 16.8 NC NCU Del Norte 0.0 0.0 NC NCU Humboldt 20.2 0.0 NC MEN Mendocino 0.0 0.0 NC NS Sonoma 23.8 0.0 NC NCU Trinity 0.0 0.0 NC Total 44.1 0.0

NCC MBU Monterey 3.7 0.0 NCC MBU San Benito 0.0 0.0 NCC MBU Santa Cruz 0.0 0.0 NCC Total 3.7 0.0 NEP LAS Lassen 0.0 0.0 NEP MOD Modoc 0.0 0.0 NEP SIS Siskiyou 0.0 0.0 NEP Total 0.0 0.0 SC SC Los Angeles 0.0 0.0 SC SC Orange 0.0 0.0 SC SC Riverside 145.4 0.0 SC SC San Bernardino 205.5 0.0 SC Total 350.9 0.0

SCC SLO San Luis Obispo 0.0 0.0 SCC SB Santa Barbara 3.7 0.0 SCC VEN Ventura 0.0 0.0 SCC Total 3.7 0.0

# 7.6-11 TABLE 3 Population Summary of Dairy Cattle, Range Cattle, and Feedlot Cattle for Year 2000

Dairy Cattle Range Cattle

AB County ID # Cows Bulls Pregnant Heifers Young Heifers Calves Total Beef Cows Beef Bulls Beef Heifers Beef Calves Stockers Beef Total Feedlot 

### Total All GBV Alpine 2 0 0 0 138 274 411 2,000 90 359 837 303 3,589 0 4,000 GBV Inyo 14 0 0 0 268 533 801 9, 500 428 1,705 3,976 590 16,199 0 17,000 GBV Mono 26 0 0 0 241 479 720 3,500 158 628 1,465 529 6,280 0 7,000 GBV Total 0 0 0 647 1,286 1,932 15,000 676 2,692 6,277 1,422 26,068 0 28,000 LC Lake 17 0 0 0 241 479 720 3,500 158 628 1,465 529 6,280 0 7,000 LC Total 0 0 0 241 479 720 3,500 158 628 1,465 529 6,280 0 7,000 LT El Dorado 9 0 0 0 38 75 113 549 25 99 230 83 985 0 1,098 LT Placer 31 0 0 0 184 367 551 1,000 45 179 418 406 2,049 0 2,600 LT Total 0 0 0 222 442 664 1,549 70 278 648 489 3,034 0 3,698 MC Amador 3 0 0 0 3,084 6,133 9,217 14,000 631 2,513 5,859 6,780 29,783 0 39,000 MC Calaveras 5 0 0 0 771 1,532 2,303 14,000 631 2,513 5,859 1,694 24,697 0 27,000 MC El Dorado 9 0 0 0 272 541 813 3,951 178 709 1,653 598 7,089 0 7,902 MC Mariposa 22 0 0 0 1,425 2,833 4,258 9,500 428 1,705 3,976 3,133 18,742 0 23,000 MC Nevada 29 0 0 0 151 301 452 5,000 225 897 2,092 333 8,548 0 9,000 MC Placer 31 0 0 0 1,127 2,241 3,369 6,110 276 1,097 2,557 2,478 12,517 0 15,886 MC Plumas 32 0 0 0 674 1,341 2,016 7, 000 316 1,256 2,929 1, 483 12,984 0 15,000 MC Sierra 46 0 0 0 206 410 617 3,000 135 538 1,255 454 5,383 0 6,000 MC Tuolumne 55 0 0 0 922 1,834 2,757 5, 000 225 897 2,092 2,028 10,243 0 13,000 MC Total 0 0 0 8,633 17,167 25,800 67,561 3, 047 12,126 28,273 18, 980 129,988 0 155,788 MD Kern 15 0 0 0 0 0 0 4,300 194 772 1,799 16 7,081 3,182 10,263 MD Los Angeles 19 0 0 0 160 318 477 2,004 90 360 839 586 3,879 0 4,356 MD Riverside 33 605 14 151 26 52 848 1,174 53 211 491 2,442 4,371 0 5,219 MD Riverside 33 605 14 151 26 52 848 1,174 53 211 491 2,442 4,371 0 5,219 MD San Bernardino 36 3,420 77 855 280 557 5,189 3,304 149 593 1,383 29,066 34,495 0 39,684 MD Total 4,630 104 1,158 492 978 7,362 11,957 539 2,146 5,004 34,552 54,197 3,182 64,741 NC Del Norte 8 0 0 0 874 1,739 2, 613 1,500 68 269 628 1,922 4,387 0 7,000 NC Humboldt 12 16,500 372 4,125 2,988 5,942 29,926 21,000 947 3, 769 8,788 6,569 41,074 0 71,000 NC Mendocino 23 0 0 0 1,728 3,436 5,163 12, 500 564 2,244 5,231 3, 798 24,337 0 29,500 NC Sonoma 49 19,424 438 4,856 2, 063 4,103 30,884 9,105 411 1,634 3,810 4,536 19,497 0 50,381 NC Trinity 53 0 0 0 14 27 41 3,000 135 538 1,255 30 4,959 0 5,000 NC Total 35,924 810 8,981 7,667 15, 246 68,628 47,105 2,124 8,455 19,713 16,856 94,253 0 162,881 NCC Monterey 27 3,000 68 750 10,789 21,453 36,060 33,000 1,488 5,923 13,810 23,719 77,940 0 114,000 NCC San Benito 35 0 0 0 2,430 4,832 7,261 18,500 834 3,321 7,742 5,342 35,739 0 43,000 NCC Santa Cruz 44 0 0 0 321 638 959 2,000 94 373 869 705 4,041 0 5,000 NCC Total 3,000 68 750 13,539 26, 923 44,280 53,500 2,416 9,616 22,421 29,766 117,720 0 162,000 NEP Lassen 18 0 0 0 1,596 3,174 4,771 26, 000 1,172 4,667 10,881 3,510 46,229 0 51,000 NEP Modoc 25 0 0 0 3,276 6,514 9,789 42, 000 1,894 7,538 17,576 7,202 76,211 0 86,000 NEP Siskiyou 47 0 0 0 2,147 4,269 6,416 34,000 1,533 6,103 14,229 4,720 60,584 0 67,000 NEP Total 0 0 0 7,019 13,957 20,976 102,000 4, 600 18,308 42,686 15, 431 183,024 0 204,000 SC Los Angeles 19 0 0 0 639 1,270 1, 909 3,996 180 717 1,672 1,169 7,735 0 9,644 SC Orange 30 0 0 0 682 1,355 2,037 1,500 68 269 628 1,498 3,963 0 6,000 SC Riverside 33 118,580 2,674 29,645 5,098 10, 138 166,135 1,546 70 277 647 3,214 5,753 0 171,888 SC San Bernardino 36 167,580 3,779 41,895 13, 725 27,292 254,270 196 9 35 8 2 1,724 2,046 0 256,316 SC Total 286,160 6,452 71,540 20,143 40,055 424,351 7,238 326 1,299 3,029 7,606 19,498 0 443,848

SCC San Luis Obispo 40 0 0 0 4,942 9,827 14,769 41,000 1,849 7,359 17,158 10, 865 78,231 0 93,000 SCC Santa Barbara 42 3,000 68 750 3,559 7,078 14,455 26,000 1,172 4,667 10, 881 7,825 50,545 0 65,000 SCC Ventura 56 0 0 0 1,081 2,149 3, 230 4,500 203 808 1,883 2,376 9,770 0 13,000 SCC Total 3,000 68 750 9,582 19, 054 32,454 71,500 3,224 12,833 29,922 21,067 138,546 0 171,000 SD San Diego 37 8,000 180 2,000 1,569 3,120 14,870 6,500 293 1,167 2, 720 3,450 14,130 0 29,000 SD Total 8,000 180 2,000 1,569 3,120 14,870 6,500 293 1,167 2,720 3,450 14,130 0 29,000 SF Alameda 1 0 0 0 1,211 2,409 3,620 12, 000 541 2,154 5,022 2, 663 22,380 0 26,000

# 7.6-12 Dairy Cattle Range Cattle

AB County ID # Cows Bulls Pregnant Heifers Young Heifers Calves Total Beef Cows Beef Bulls Beef Heifers Beef Calves Stockers Beef Total Feedlot 

### Total All
SF Contra Costa 7 3,000 68 750 2,445 4, 861 11,124 7,000 316 1,256 2, 929 5,375 16,876 0 28,000 SF Marin 21 12,000 271 3,000 1,882 3,743 20, 896 8,500 383 1,526 3,557 4,138 18,104 0 39,000 SF Napa 28 0 0 0 468 931 1,399 4, 000 180 718 1,674 1,029 7,601 0 9,000 SF San Francisco 38 0 0 0 0 0 0 0 0 0 0 0 0 0 0 SF San Mateo 41 0 0 0 0 0 0 2,000 70 279 651 0 3,000 0 3,000 SF Santa Clara 43 0 0 0 801 1,593 2, 394 9,500 445 1,771 4,129 1,761 17,606 0 20,000 SF Solano 48 723 16 181 815 1,620 3,355 3,615 163 649 1,513 1, 791 7,731 0 11,086 SF Sonoma 49 12,576 284 3,144 1,336 2,657 19, 996 5,895 266 1,058 2,467 2,937 12,623 0 32,619 SF Total 28,299 638 7,075 8,958 17, 813 62,783 52,510 2,364 9,411 21,942 19,694 105,922 0 168,705 SJV Fresno 10 89,000 2,007 22, 250 48,945 97,329 259,530 20,000 902 3, 590 8,370 531 33,393 107,077 400,000 SJV Kern 15 62,000 1,398 15, 500 14,546 28,925 122,368 38, 700 1,745 6,946 16,195 142 63,729 28,639 214,737 SJV Kings 16 130,000 2,931 32,500 894 1,779 168,104 3,000 135 538 1,255 1,966 6,896 0 175,000 SJV Madera 20 38,000 857 9,500 8,358 16,620 73, 335 16,000 722 2,872 6,696 91 26,380 18,285 118,000 SJV Merced 24 200,000 4,510 50, 000 19,964 39,699 314,173 31, 000 1,398 5,564 12,973 43,892 94,827 0 409,000 SJV San Joaquin 39 96,000 2,165 24,000 11,562 22,992 156,719 20,000 902 3,590 8,370 25,420 58,281 0 215,000 SJV Stanislaus 50 157,000 3,540 39, 250 30,389 60,429 290,608 46, 000 2,074 8,256 19,250 330 75,911 66,481 433,000 SJV Tulare 54 358,000 8,072 89, 500 28,958 57,584 542,113 33, 000 1,488 5,923 13,810 314 54,536 63,351 660,000 SJV Total 1,130,000 25,479 282,500 163,616 325,356 1,926,951 207, 700 9,366 37,279 86,920 72, 687 413,953 283,833 2,624,737 SS Imperial 13 0 0 0 101,123 201,087 302,210 1,500 68 269 628 0 2,465 222,325 527,000 SS Riverside 33 1,210 27 303 52 103 1, 695 1,606 72 288 672 3,340 5,979 0 7,674 SS Total 1,210 27 303 101,175 201,191 303,906 3, 106 140 557 1,300 3,340 8,443 222,325 534,674 SV Butte 4 1,000 23 250 725 1,442 3,440 8,500 383 1,526 3,557 1,594 15,560 0 19,000 SV Colusa 6 0 0 0 833 1,656 2,489 6, 500 293 1,167 2,720 9 10,689 1,822 15,000 SV Glenn 11 16,500 372 4,125 3, 043 6,051 30,091 19,000 857 3,410 7,951 6,690 37,909 0 68,000 SV Placer 31 0 0 0 533 1,060 1,593 2,890 130 519 1,209 1, 172 5,921 0 7,514 SV Sacramento 34 18,000 406 4,500 3,749 7,456 34,111 15,000 676 2, 692 6,277 8,243 32,889 0 67,000 SV Shasta 45 0 0 0 1,266 2,517 3,783 24, 000 1,082 4,308 10,044 2,783 42,217 0 46,000 SV Solano 48 777 18 194 876 1,741 3,606 3, 885 175 697 1,626 1,925 8,308 0 11,914 SV Sutter 51 0 0 0 785 1,561 2,345 3, 000 135 538 1,255 1,725 6,655 0 9,000 SV Tehama 52 5,000 113 1,250 3, 550 7,060 16,973 33,000 1,488 5, 923 13,810 7,806 62,027 0 79,000 SV Yolo 57 0 0 0 1,026 2,040 3,065 6, 500 293 1,167 2,720 2, 255 12,935 0 16,000 SV Yuba 58 3,000 68 750 3,987 7,928 15,733 7,000 316 1,256 2,929 8,766 20,267 0 36,000 SV Total 44,277 998 11,069 20,373 40, 512 117,229 129,275 5,830 23,203 54, 100 42,969 255,377 1,822 374,428



### Dairy Cattle Range Cattle

Cows Bulls Pregnant Heifers Young Heifers Calves Total Beef Cows Beef Bulls Beef Heifers Beef Calves Stockers Beef Total Feedlot 

### Total All Grand Total 1,544,500 34,825 386,125 363, 875 723,579 3,052,905 780,000 35,175 140,000 326,421 288,838 1,570,433 511,163 5,134,500

# 7.6-13 TABLE 4 Population Summary of Swine, Poultry, Sheep, Goats, and Horses for 2000

Poultry

AB County ID # Broiler Layer & Pullets Turkey Total Poultry Swine Sheep Horse Goat GBV Alpine 2 0 0 0 0 0 0 89 0 GBV Inyo 14 0 287 0 287 10 154 562 0 GBV Mono 26 0 28 0 28 987 7,824 352 0 GBV Total 0 315 0 315 997 7,978 1,003 0 LC Lake 17 89 6,243 35 6,367 113 1,123 554 184 LC Total 0 89 6,243 35 6,367 113 1,123 554 184 LT El Dorado 9 55 150 5 210 23 261 194 46 LT Placer 31 91 289 11,190 11,570 26 329 237 53 LT Total 147 439 11,195 11,780 49 590 431 99

MC Amador 3 98 14,417 0 14,516 42 1,162 841 677 MC Calaveras 5 407 14,686 2,204 17,297 83 1,521 920 243 MC El Dorado 9 398 1,076 35 1,510 165 1,879 1,396 328 MC Mariposa 22 1,653,743 14,602 52,336 1,720,681 987 380 756 146 MC Nevada 29 69 691 28 789 81 1,268 880 146 MC Placer 31 557 1,766 68,373 70,695 159 2,012 1,451 324 MC Plumas 32 66 341 11 418 107 593 427 9 MC Sierra 46 0 23 0 23 987 5,197 110 0 MC Tuolumne 55 19 168 518,717 518,903 26 558 696 374 MC Total 1,655,358 47,770 641,704 2,344,832 2,639 14,569 7,477 2,247 MD Kern 15 0 0 0 0 0 15,597 342 15 MD Los Angeles 19 100,065 1,193 99 101,357 270 2,869 1,909 140 MD Riverside 33 5 74,486 1 74,492 17 14,806 4,175 317 MD San Bernardino 36 14,045 57,405 480 71,929 229 16,647 3,505 1,065 MD Total 114,115 133,084 580 247,779 516 49,919 9,931 1,536 NC Del Norte 8 0 152 0 152 987 100 33 0 NC Humboldt 12 165 681 21 866 641 4,714 1,408 374 NC Mendocino 23 272 2,304 27,429 30,005 1,446 12,042 1,494 253 NC Sonoma 49 1,512,250 459,300 96,242 2,067,792 506 13,531 2,521 846 NC Trinity 53 0 477 23 500 47 164 276 146 NC Total 1,512,687 462,913 123,716 2,099,316 3,627 30,551 5,732 1,618

NCC Monterey 27 92 2,637 34 2,763 384 1,796 1,576 818 NCC San Benito 35 1,653,743 141,856 106,568 1,902,167 434 3,537 1,247 94 NCC Santa Cruz 44 83 141,856 8 141,947 85 5,197 760 121 NCC Total 0 1,653,918 286,349 106,610 2,046,877 903 10,529 3,583 1,033 NEP Lassen 18 313 612 23,988 24,912 281 2,204 1,403 146 NEP Modoc 25 34 319 26,162 26,515 85 10,961 1,340 228 NEP Siskiyou 47 198 910 7 1,115 1,645 3,925 1,714 21 NEP Total 545 1,840 50,156 52,542 2,011 17,089 4,457 395 SC Los Angeles 19 400,259 4,772 398 405,429 1,079 5,721 3,807 279 SC Orange 30 0 14,388 0 14,388 987 86 1,429 0 SC Riverside 33 491 7,299,653 109 7,300,253 1,634 9,744 2,748 209 SC San Bernardino 36 688,208 2,812,826 23,500 3,524,534 11,230 988 208 63 SC Total 1,088,957 10,131,639 24,007 11,244,604 14,930 16,538 8,191 551

# 7.6-14 Poultry

AB County ID # Broiler Layer & Pullets Turkey Total Poultry Swine Sheep Horse Goat

SCC San Luis Obispo 40 1,134 8,298 29 9,462 808 22,101 4,710 312 SCC Santa Barbara 42 107 156,131 34 156,271 161 10,720 5,266 97 SCC Ventura 56 313 1,182,263 115 1,182,691 987 303 3,008 146 SCC Total 0 1,554 1,346,692 178 1,348,424 1,956 33,125 12,984 555 SD San Diego 37 207,859 2,741,611 133 2,949,603 1,257 1,035 8,158 509 SD Total 207,859 2,741,611 133 2,949,603 1,257 1,035 8,158 509 SF Alameda 1 331,655 318 8 331,981 80 1,268 1,943 228 SF Contra Costa 7 24 343 0 366 65 299 2,523 374 SF Marin 21 0 170 55,862 56,032 987 13,435 723 146 SF Napa 28 1,653,743 920 24,034 1,678,697 184 520 805 782 SF San Francisco 38 0 0 0 0 0 0 0 0 SF San Mateo 41 0 353 169 522 38 109 1,129 0 SF Santa Clara 43 113 141,897 23 142,034 157 742 2,815 136 SF Solano 48 54 376 40 471 63 28,750 691 70 SF Sonoma 49 979,101 297,372 62,312 1,338,785 327 8,761 1,633 547 SF Total 2,964,690 441,750 142,448 3,548,888 1,902 53,883 12,261 2,283

SJV Fresno 10 12,179,422 466,446 1,879,251 14,525,118 6,055 35,210 3,795 2,290 SJV Kern 15 93 141,926 120 142,139 1,593 140,370 3,074 131 SJV Kings 16 1,822,301 50,456 962,397 2,835,154 987 5,197 604 877 SJV Madera 20 873,471 885 785,475 1,659,831 277 10,302 2,313 82 SJV Merced 24 1,653,743 1,400,055 1,537,664 4,591,461 6,337 15,201 1,467 654 SJV San Joaquin 39 404,378 3,058,868 2,216 3,465,462 1,532 22,950 3,530 111 SJV Stanislaus 50 12,189,388 3,024,069 1,570,665 16,784,122 17,855 2,669 3,464 1,670 SJV Tulare 54 2,756,185 28,141 355,086 3,139,412 93,293 63,581 2,555 819 SJV Total 31,878,980 8,170,846 7,092,873 47,142,699 127,929 295,479 20,802 6,634 SS Imperial 13 0 128 0 128 180 173,377 198 0 SS Riverside 33 5 74,486 1 74,492 17 10,125 2,855 217 SS Total 5 74,614 1 74,620 196 183,502 3,053 217 SV Butte 4 778 1,929 43 2,750 5,487 2,331 1,150 54 SV Colusa 6 1,653,743 141,856 6 1,795,604 210 7,513 448 228 SV Glenn 11 55 361 40 455 1,376 8,496 1,039 145 SV Placer 31 264 835 32,340 33,439 75 952 686 153 SV Sacramento 34 409,736 61,013 745,367 1,216,115 1,262 4,433 3,913 519 SV Shasta 45 279 1,189 99 1,568 219 1,482 1,708 146 SV Solano 48 58 404 43 506 68 30,898 742 76 SV Sutter 51 26 436 2,204 2,666 216 16,114 503 0 SV Tehama 52 287 846 26,162 27,295 367 6,821 2,138 146 SV Yolo 57 210 552 37 798 1,133 23,898 1,392 46 SV Yuba 58 1,116 475 21 1,613 560 1,150 773 25 SV Total 2,066,550 209,895 806,363 3,082,809 10,973 104,088 14,492 1,537



### Poultry

Broiler Layer & Pullets Turkey Total Poultry Swine Sheep Horse Goat 

### Grand Totals 43,145,455 24,056,000 9,000,000 76,201,455 170,000 820,000 113,110 19,397