SUPPORTING STATEMENT FOR INFORMATION COLLECTION
PART B
UNITED STATES DEPARTMENT OF AGRICULTURE (USDA)
ANIMAL AND PLANT HEALTH INSPECTION SERVICE (APHIS)
VETERINARY SERVICES (VS)
THE CENTERS FOR EPIDEMIOLOGY AND ANIMAL HEALTH (CEAH),
NATIONAL ANIMAL HEALTH MONITORING SYSTEM (NAHMS)
NAHMS SWINE 2012 STUDY
1. Describe the potential respondent universe and any sampling or other respondent selection methods to be used.
LARGE OPERATION COMPONENT
The potential respondent universe of the Swine 2012 large operation component study is all swine producers with 100 or more pigs in their operations that are on the NASS swine list frame, in 13 States1. These 13 States are a subset of the 16 States which NASS publishes state-level estimates on a quarterly basis (CO, MI and UT were excluded). The advantage of using these States is that the NASS list frame is more complete and up to date. The February 2011 “Farms, Land in Farms, and Livestock Operations 2010 Summary” shows this size of operation in the US accounts for only 29.5 % of the hog operations but includes 99.2% of the inventory. Examination of the 2007 Census of Agriculture summary information (the last publication of all State-level by size farm and inventory information) shows that these 13 States account for 89.0% of swine farms with 100 or more pigs in the US and 90.8% of hogs and pigs on swine farms with 100 or more pigs in the US (Appendix A, pg 23). The target population of producers with 100 or more pigs is consistent with the previous NAHMS studies conducted in 1995, 2000 and 2006 which facilitates the analysis of trends. An in-depth evaluation of different size cut off levels and associated impact on state inclusion/exclusion along with an analysis of overall coverage for farms and inventories is provided in Appendix A.
Unlike the previous NAHMS swine studies of this population of producers the sample of 4600 will be drawn via NASS in replicates to facilitate mixed mode data collection. Details are discussed later in this document. Based on previous NAHMS swine surveys (Appendix B), the estimated response rate of replicates to be used for the NASS mail-in questionnaire with phone interview follow-up to the mail nonrespondents is 70 percent of which some will have zero inventory. The estimated response rate of replicates to be used for the NASS enumerator personal interview is 65 percent, which will include some zero inventory responses (Appendix E).
The descriptive reports from the Swine 2012 Study will include a methodology Section explaining the study processes – information needs assessment, sample selection, data collection, validation and editing, estimation, and response rates. In addition, the report appendix will include a table identifying the specific reference population in terms of the number of operations with pigs and the number of pigs.
SMALL OPERATION COMPONENT
The potential respondent universe of the small operation component of the Swine 2012 Study is all swine farms with fewer than 100 pigs on their operations as control data on the NASS swine list frame, in 31 States2. These 31 States are primarily selected based on results from assessments of risk pathways for the two diseases of interest (Classical Swine Fever (CSF) and Pseudorabies, Appendix A, pgs. 18-20 and Appendix D & F). Thirteen of the 31 States (IA, OH, MO, IN, TX, PA, MN, IL, OK, KS, NE, NC and SD) are also in the large operation component of the study. Five of the States (WI, PA, MI, CO and SD) were selected to improve coverage. These 31 States account for 82.7% of swine farms with less than 100 hogs and 91.5% of the hogs on farms with less than 100 hogs in the US (Appendix D) according to the 2007 Census of Agriculture. Based on the previous NAHMS Small Enterprise Swine 2007 Study, the estimated response rate for the small operation component of the Swine 2006 study is 80 percent including 20 percent zero pigs on hand at the time of the interview (Appendix E).
2. Describe the procedures for the collection of information.
LARGE OPERATION COMPONENT
Statistical methodology for stratification and sample selection:
Sampling methodology — Swine 2012 large component of the study: 4,600 swine farms will be selected from NASS’ swine list frame. The sample will be drawn in replicates with 2,000 samples being used for the CATI sample and 2,600 samples used for the personal interview sample. The sample will be selected as a stratified random sample with the strata being both state and operation size. Operation size is based on total hog inventory on the NASS list frame. The state-level allocation will be based on a weighted proportion of the number of operations in the state and the hog inventory relative to the U.S. levels for swine farms with 1,000 or more hogs (Appendix A). The percentage of the 13 State total for the population of 100+ swine farms in the State will get a weight of 0.4 and the percentage of hogs will get a weight of 0.6. For example, Iowa has 31.6% of the hogs and 34.2% of farms. Iowa will initially be assigned 32.6% (31.6*0.6+34.2*0.4=32.6) of the sample of 4,600 drawn in replicates. The allocation will be adjusted to move some of the sample from States with a large amount of samples to other States with fewer samples. Within States the state-level sample will be allocated within size strata using the same strategy as for the state-level allocation.
There are two methods that will be used to collect information for this component: first a short telephone questionnaire will be completed via CATI for the sample of 2,000 and the second collection method is via the NASS enumerator on-farm visits to the sample of 2,600 producers. For the former, respondents may fill a shorter version of the on-farm interview questionnaire and mail it back to NASS state offices. Those that do not mail back the questionnaire will have the opportunity for NASS telephone enumerators to administer the questionnaire via CATI. Approximately 5-10 calls will be placed by the CATI enumerator to the producer to attempt to complete the questionnaire. For those producers selected for an on-farm visit, three to five telephone calls will be made by the NASS enumerator to set up a convenient time to introduce the study. If the producer is unable to be contacted via phone, the enumerator will drive to the farm to initiate contact and will either complete the interview at that time or establish another time for the interview. Once contact is made, the NASS enumerator will administer NAHMS-288 (Large Operation General Farm Questionnaire). If the farm location cannot be established, the selected unit will be coded inaccessible.
Upon completion of the interview (for both CATI and personal interview samples), if the respondent had 100 or more hogs they will be asked to sign a consent form allowing NASS to turn their name over to APHIS for further consideration in the study. This completes Phase I of the study. NASS will provide the list of producers willing to participate in the second phase of the study (NAHMS 291 - VS Initial Visit Questionnaire) to NAHMS coordinators in each State. Once all the information on NAHMS-291 has been entered and validated, NASS will send a cleaned dataset to NAHMS along with completed questionnaires via mail. The estimated response rate based on previous NAHMS swine studies for complete questionnaires with positive swine inventory is 55% for the Phase I CATI and 50% for the Phase I Enumerator visit (Appendix E).
Phase II of the study for the large operation component consists of an on-farm interview administered by an APHIS designated data collector (typically a veterinary medical officer (VMO)). The data collector will make three to five telephone calls in order to contact the producer to set up a time to administer the study questionnaire(s) and potentially take biologic samples. Upon arrival on the premises, the data collector will present NAHMS-290 (Producer Agreement) to the producer which allows the producer to indicate what portion(s) of the Swine 2012 study they agree to participate in. Once NAHMS-290 is completed and signed, the data collector will administer NAHMS 291 (VS Initial Visit questionnaire) to the producer. Once NAHMS-291 has been completed, a separate time may be set up for the data collector to come back and take biologic samples (NAHMS-292 (blood), NAHMS-293 (fecal), NAHMS-294 (saliva), and NAHMS-295 (nasal)) depending on what the producer indicates on the producer agreement. The data collector may set up one to two separate times to come back to the farm to complete the biological sampling. Once the VS Initial Visit Questionnaire is completed, and all of the samples indicated on the producer agreement have been taken, Phase II of the study is complete. The completed questionnaires will be returned to NAHMS via U.S. mail. The response rate for previous NAHMS swine studies is shown in Appendix B and the estimated response rates for Swine 2012 are shown in Appendix E.
Estimation procedure:
The sampling design is a stratified random sample with unequal probabilities of selection. The statistical estimation will be undertaken using either SAS survey procedures or SUDAAN. Both software packages use a Taylor series expansion to estimate appropriate variances for the stratified, weighted data.
Degree of accuracy needed:
The overall NAHMS program goal is to develop descriptive statistics with a coefficient of variation less than 20%. With a population size of 15,000 (for the largest region), in order to obtain an estimate of 10% +/- 2.0% (cv = 10.0%) a sample size of 817 is needed when a simple random sample is taken. Similarly, to obtain a prevalence/proportion estimate of 50%+/-10%
(cv = 10%) would require a simple random sample of only 95 (Appendix C). However, the complex survey design typically will result in variances that are inflated. The design effect from the Swine 2006 study indicates the magnitude of the variance inflation that can be expected (Appendix G). Design effects ranged from 1.1 to 2.2 for the selected variables. Assuming a design effect of 2, a sample size of 1,634 would be required to obtain the desired precision when the estimate is 10%. The sample size required for a similar precision goal when the estimate is 50% is only 288.
The design of the Swine 2006 study was very similar to the proposed design for the large operation component of the Swine 2012 study. Estimates, standard errors and coefficients of variation (based on 2,079 completed operation level questionnaires) presented in Appendix G indicate that the minimum degree of precision that was desired was attained and, in all cases, exceeded for the NASS component. Similarly, the estimates, standard errors, and coefficients of variation for the VMO component (based on 665 completed operation level questionnaires) met the desired accuracy goals (Appendix G)).
Unusual problems requiring specialized sampling procedures and data collection cycles:
There are no unusual problems requiring specialized sampling procedures and data collection cycles.
SMALL OPERATION COMPONENT
Statistical methodology for stratification and sample selection:
Sampling methodology — Swine 2012 small component of the study: 2,000 swine farms will be selected from NASS’ swine list frame for screening. The sample will be selected as a stratified random sample with both State and operation size strata. Operation size is once again based on total inventory from NASS’ list frame. The State-level allocation will be based, similar to the large operation component, on a weighted proportion of the number of operations in the State and the hog inventory relative to the U.S. levels for swine farms with less than 100 hogs. The percentage of swine farms in the State, relative to the 31-State total, will get a weight of 0.4 and the percentage of hogs will get a weight of 0.6. For example, Ohio has 6.0% of the hogs and 6.2% of the farms. Ohio will initially be assigned 6.1% (6.0*0.6+6.2*0.4=6.1%) of the sample of 2,000. The allocation may be adjusted to move some of the sample from States with large samples to other States with fewer samples. Within States, the State-level sample will be allocated within size strata. Allocation will follow the same strategy as the State-level allocation since proportions of operations and proportions (ratios) of hogs will be estimated using the data obtained from this study.
This component will also involve a mail-in questionnaire with a follow-up of non respondents via CATI. The CATI interview will take approximately 20 minutes to complete (NAHMS 287 - Small Operation Questionnaire (CATI)). Approximately two weeks after the mail out, NASS will call producers on the mailing list that did not return the mail survey. A total of approximately 5 to 10 calls will be made to attempt to complete an interview before coding the respondent as inaccessible. There will not be a letter or any attempt to convert refusals other than a clear explanation of the importance of their voluntary participation in the initial phone call. Once all the information on NAHMS-288 has been entered and validated, NASS will send a clean dataset to NAHMS. The estimated response rate for the small component is based on the previous NAHMS Swine 2007 Small Enterprise study is 80% (Appendix E).
Estimation procedure:
The sampling design is a stratified random sample with unequal probabilities of selection. The statistical estimation will be undertaken using either SAS survey procedures or SUDAAN. Both software packages use a Taylor series expansion to estimate appropriate variances for the stratified, weighted data.
Degree of accuracy needed:
The overall NAHMS program goal is to develop descriptive statistics with a coefficient of variation less than 20 percent. With a population size of 16,000 (for the largest region), in order to obtain an estimate of 10% +/- 2.0% (cv = 10.0%) a sample size of 820 is needed when a simple random sample is taken. Similarly, to obtain a prevalence/proportion estimate of 50%+/-10%
(cv = 10%) would require a simple random sample of only 95 (Appendix C). However, the complex survey design typically will result in variances that are inflated. The design effect from the 2007 Small Enterprise Swine Study, which focused on small hog operations, indicates the magnitude of the variance inflation that can be expected. Design effects had a small range of 1.3 to 1.4 for the selected variables (Appendix H). Assuming a typical design effect of 1.4, a sample size of 1,148 would be required to obtain the desired precision when the estimate is 10%. The sample size required for a similar precision goal when the estimate is only 192.
Unusual problems requiring specialized sampling procedures and data collection cycles:
There are no unusual problems requiring specialized sampling procedures and data collection cycles.
3. Describe methods to maximize response rates and to deal with issues of non responses.
LARGE OPERATION COMPONENT
Study Design:
Many previously used and proven questions have been repeated from previous NAHMS swine studies in 1990, 1995, 2000, 2006 and 2007.
The study minimizes collection of data to that which is absolutely necessary.
NAHMS will develop training materials for NASS enumerators that explain the purpose of the study and addresses anticipated difficulties with questions, including proper pronunciation of diseases. Each enumerator will receive the material.
After participating in a telephone training session with NAHMS staff, the NAHMS coordinator (VMO, one per State) will help train NASS enumerators that will go on-farm in their home State.
The NAHMS’ coordinator conducting training will acquaint the NASS enumerators with NAHMS, their role in the information collection, and the type of information to be reported resulting from the data collected.
Similarly, for the on-farm component, each NAHMS coordinator will in return train the APHIS field data collectors in their State.
The Swine specialist for NAHMS has made numerous contacts and collaborative efforts to identify the information needs of the industry and the best way to ask for that information via questionnaire.
A pre-survey letter will be sent along with the brochure. Upon personal contact by the enumerator, the brochure will again be presented to the personal interview sample.
Contacting Respondents:
The study has been announced and is supported by the National Pork Board, National Pork Producers Council and the American Association of Swine Veterinarians (AASV).
A pre-survey letter and brochure announcing the study will give respondents more information on the study and why participation is important.
Producers will be called by the NASS enumerator 5 to 10 times and APHIS personnel 3 to 5 times followed by an on-farm visit before they are listed as refused or inaccessible.
The APHIS designated data collector will contact farms that have consented to have their name turned over to APHIS and set up a convenient time for the producer to complete the questionnaire.
Data collectors will arrive at the premises at the agreed time or in the case of a CATI call at a mutually agreed upon time.
Data Analysis Steps:
If the respondents differ substantially from the non respondents there will be the potential for bias. There are two approaches that APHIS will use to examine for potential bias. First, NASS’s control data on their list frame will be available for both respondents and non-respondents to allow for examination of potential differences in the types of responding and non-responding producers. The information will include number of hogs as of the NASS March 2012 visit or list sampling frame hog control inventory. For the VMO phase (Phase II), data from the completed initial survey will be available for comparing respondents versus non respondents as well as the control data from the NASS’ list frame. Secondly, estimates can be compared from the study with available indicators from other sources. For example, although APHIS does not publish estimates of hogs, the survey results will allow NAHMS to make estimates that can be used to compare against NASS’ inventory estimates. This study is the fifth swine study that NAHMS has conducted involving larger producers and APHIS can compare current estimates with results from previous studies (1990, 1995, 2000 and 2006).
The complex sampling design necessitates the use of weights which reflect the initial sample selection probabilities (the inverse of the selection interval). Weights of non-respondents will be transferred to responding operations that are most similar, based on available data. This data will be available from the NASS list frame for the NASS component of the study. The VMO phase weight adjustments will be based on data available from both the NASS list frame and the NASS component questionnaire results. Within categories, the sum of weights of the respondents and non-respondents will be divided by only the sum of the weights of the respondents. This factor will be used to adjust the weights of the respondents with the category. All weights for non- respondents will be set to zero.
SMALL OPERATION COMPONENT
Study Design:
Many questions have been repeated from the previous NAHMS Small Enterprise Swine Study conducted in 2007.
Minimizing collection of data to that which is absolutely necessary.
The swine specialist for NAHMS has made numerous contacts and collaborative efforts to identify the information needs of the industry for the small component questionnaire.
A sample of 2,000 swine producers with 1-99 head on the NASS list sampling frame will be drawn from NASS’ producer list.
A mail out questionnaire and telephone follow-up will boost the response rate to the estimated 80 percent.
Contacting Respondents:
The study has been announced and is supported by the National Pork Board, National Pork Producers Council and the American Association of Swine Practitioners.
The questionnaire will be sent out via U.S. Mail with a cover letter and brochure announcing the study to give respondents more information on the study and why participation is important.
If no response is received two weeks after the initial questionnaire is mailed out a NASS CATI enumerator will contact the producer and attempt to get the producer to complete the questionnaire.
Producers will be called by the NASS enumerator 5 to 10 times followed by an on-farm visit before they are listed as refused or inaccessible.
Data collectors will call at the best time of day to reach producers in this population. a mutually agreed upon time.
Data Analysis Steps:
If the respondents differ substantially from the non-respondents there will be the potential for bias. There are two approaches that APHIS will use to examine for potential bias. First, NASS’s control data on their list frame will be available for both respondents and non-respondents to allow for examination of potential differences in the types of responding and non-responding producers. The information will include number of types of hogs owned as of the most current NASS list frame. Secondly, APHIS can compare estimates from the study with available indicators from other sources. For example, although APHIS does not publish estimates of hogs, the survey results will allow APHIS to make estimates that it can use to compare against NASS’ inventory estimates. When possible, results from this study will be compared to results from the 2007 Small Enterprise Swine Study. Also, APHIS will compare its results to values available from the scientific literature.
The complex sampling design necessitates the use of weights which reflect the initial sample selection probabilities (the inverse of the selection interval). Weights of non-respondents will be transferred to responding operations that are most similar based on available data. Within categories, the sum of weights of the non-respondents and respondents will be divided by the sum of the weights of the respondents only. This factor will be used to adjust the weights of the respondents with the category. All weights for non-respondents will be set to zero.
4. Describe any test procedures or methods to be undertaken.
The proposed questionnaires will be tested during the pretest phase involving less than 10 respondents. Results from these pretests will be utilized to refine the information collection in order to reduce respondent burden and improve the usefulness of the information.
5. Provide the name and telephone number of individuals consulted on statistical aspects of the design and the name of the agency unit, contact(s), grantee(s), or other person(s) who will actually collect and /or analyze the information for the agency.
The statistical aspects of the design were coordinated by Mr. George Hill, Statistician, USDA: APHIS, Veterinary Services, CEAH, Fort Collins, CO, (970) 494-7250. The actual data collection will be conducted by APHIS designated data collectors. Contact persons for data collection are:
- Dr. John Clifford, Deputy Administrator, USDA: APHIS, Veterinary Services,
Washington, DC (202) 447-6835.
Analysis of the data will be accomplished by NAHMS veterinarians, epidemiologists, and statisticians under the direction of:
- Dr. Bruce Wagner, Director, National Animal Health Monitoring System, USDA: APHIS, VS, CEAH, 2150 Centre Avenue, Building B MS2E7, Fort Collins, CO 80526-8117 (970) 494-7230.
Appendix A: Swine 2012 State Selection (9/20/11)
Purpose of document:
To arrive at a general agreement on States to be included in the NAHMS Swine 2012 Study and to document the selection process.
Swine 2012 Cutoff Level Considerations
The swine industry is characterized by many small producers who account for a very small percentage of the US inventory. The relatively large producers have most of the inventory. These small producers are not necessarily located in the States which have a lot of swine production.
Historically NAHMS has used 100+ for the previous two studies conducted in 2000 and 2006 for the population of interest. In 2007 a Small Swine Enterprise Study was conducted covering those operations with 1-99 total inventory.
Shown below is a distribution of hog production in the US from the 75,442 farms with 67.8 million hogs and pigs as of the 2007 Census of Ag.
% farms % inventory
1-99 69.6 0.9
100-499 9.4 2.7
500-999 4.8 3.7
1,000-1,999 5.3 8.2
2,000-4,999 7.1 24.4
5,000+ 3.8 60.2
Total 100.0 100.0
Three cut off options were considered:
1. 100+
1-99 69.6 0.9 Coverage needed or not?
100+ 30.4 99.1 Personal interviews by NASS and VMOs
Total 100.0 100.0
2. 500+
1-99 69.6 0.9 Coverage needed or not?
100-499 9.4 2.7 CATI data collection.
500+ 21.0 96.4 Personal interviews by NASS and VMOs
Total 100.0 100.0
3. 1,000+
1-99 69.6 0.9 Coverage needed or not?
100-999 14.2 6.4 CATI data collection.
1,000+ 16.2 92.7 Personal interviews by NASS and VMOs
Total 100.0 100.0
What are the information needs and associated publication considerations?
If APHIS chose States on cutoff levels APHIS would probably choose 14 for the 1+ level and as the cutoff increases APHIS could reduce the number of States. See the following tables which suggest that if APHIS used a cutoff level of 1,000+ head APHIS would only need maybe 10-12 States. Similarly if APHIS were only to study the smallest hog operations say 1-99 APHIS would need maybe 25-30 States like APHIS did in the 2007 study.
From a publication standpoint, would it be most desirable to publish results for 1+ operations in maybe core pig States, maybe 14, or would APHIS choose to publish comparable results for 100+ operations? If APHIS chose to publish comparable results to previous reports APHIS would choose to publish 100+ only in that report and then use a separate report to publish the very smallest group of pig producers (1-99) in another separate report. However, is there a need to publish 1+ results for the core States in one report (which implies that any small producer study of the 1-99 group would need to include coverage in those States that are in the large size group study.
Data presented in the following tables helped to make the appropriate decisions.
Final decision:
For the 1-99 population, a CATI study will be conducted to replicate the 2007 Small Swine Enterprise study conducted in 31 States.
For the larger size operations, NASS enumerators will contact those operations with 100 or more head which replicates the NAHMS 2006 Swine Study.
I. Process for 1+ all hogs and pigs—individual State contribution (2007 Census of Agriculture):
Identify States with 2 percent or more of the U.S. total for both
number of all hogs and pigs and number of farms for either 2007 or
December 1, 2010, inventory.
|
2007 Census of Agriculture |
NASS Quarterly Hogs & Pigs, Dec. 2010 |
|||||||||
|
All Hogs & Pigs |
Farms |
|
All Hogs & Pigs (12/1/10) |
Farms |
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
Number |
% |
|
|
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
67,786,318 |
100.00 |
75,442 |
100.00 |
100.0 |
64,325,000 |
100.00 |
Used farm numbers from 2007 Census of Agriculture (at left) |
100.00 |
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
4,298,716 |
6.34 |
2,864 |
3.80 |
5.32 |
4,300,000 |
6.68 |
5.53 |
||
IN* |
Q |
3,669,057 |
5.41 |
3,420 |
4.53 |
5.06 |
3,650,000 |
5.67 |
5.22 |
||
IA* |
Q |
19,295,092 |
28.46 |
8,330 |
11.04 |
21.50 |
18,900,000 |
29.38 |
22.05 |
||
MN* |
Q |
7,652,284 |
11.29 |
4,382 |
5.81 |
9.10 |
7,700,000 |
11.97 |
9.51 |
||
MO* |
Q |
3,101,469 |
4.58 |
2,999 |
3.98 |
4.34 |
2,900,000 |
4.51 |
4.30 |
||
NE* |
Q |
3,268,544 |
4.82 |
2,213 |
2.93 |
4.07 |
3,100,000 |
4.82 |
4.06 |
||
NC* |
Q |
10,134,004 |
14.95 |
2,836 |
3.76 |
10.47 |
8,800,000 |
13.68 |
9.71 |
||
OH* |
Q |
1,831,084 |
2.70 |
3,718 |
4.93 |
3.59 |
2,030,000 |
3.16 |
3.86 |
||
OK* |
Q |
2,398,372 |
3.54 |
2,702 |
3.58 |
3.56 |
2,330,000 |
3.62 |
3.61 |
||
|
|
|
|
|
|
|
|
|
|||
9-State total |
55,648,622 |
82.09 |
33,464 |
44.36 |
67.01 |
53,710,000 |
83.49 |
67.85 |
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
Identify remaining States with 2 percent or more of either number of
all hogs and pigs or number of farms for either 2007 or December 1,
2010, inventory.
|
2007 Census of Agriculture |
NASS Hogs & Pigs, Dec. 2010 |
|||||||||
|
All Hogs & Pigs |
Farms |
|
All Hogs & Pigs (12/1/10) |
Farms |
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
Number |
% |
|
|
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
FL |
|
19,937 |
0.03 |
1,906 |
2.53 |
1.03 |
15,000 |
0.02 |
Used farm numbers from 2007 Census of Agriculture (at left) |
1.02 |
|
KS* |
Q |
1,885,252 |
2.78 |
1,454 |
1.93 |
2.44 |
1,810,000 |
2.81 |
2.46 |
||
MI* |
Q |
1,032,054 |
1.52 |
2,691 |
3.57 |
2.34 |
1,040,000 |
1.62 |
2.40 |
||
NY |
|
85,741 |
0.13 |
1,871 |
2.48 |
1.07 |
108,000 |
0.17 |
1.09 |
||
PA* |
Q |
1,167,449 |
1.72 |
3,637 |
4.82 |
2.96 |
1,110,000 |
1.73 |
2.96 |
||
SD* |
Q |
1,490,034 |
2.20 |
959 |
1.27 |
1.83 |
1,290,000 |
2.01 |
1.71 |
||
TN |
|
138,207 |
0.20 |
1,566 |
2.08 |
0.95 |
170,000 |
0.26 |
0.99 |
||
TX* |
Q |
1,155,790 |
1.71 |
4,471 |
5.93 |
3.39 |
660,000 |
1.03 |
2.99 |
||
WI* |
|
436,814 |
0.64 |
3,188 |
4.23 |
2.08 |
340,000 |
0.53 |
2.01 |
||
|
|
|
|
|
|
|
|
|
|||
9-State total |
7,411,278 |
10.93 |
21,743 |
28.84 |
18.09 |
6,543,000 |
10.18 |
17.63 |
|||
18-State total |
63,059,900 |
93.02 |
55,207 |
73.20 |
85.10 |
60,253,000 |
93.67 |
85.48 |
.
Identify remaining States roughly close to the 2-percent cutoff level either period.
|
2007 Census of Agriculture |
NASS Hogs & Pigs, Dec. 2010 |
||||||||
|
All Hogs & Pigs |
Farms |
|
All Hogs & Pigs (12/1/10) |
Farms |
|
||||
State |
Number |
% |
Number |
% |
Wtd. % |
Number |
% |
|
|
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
CA |
153,983 |
0.23 |
1,389 |
1.84 |
0.87 |
105,000 |
0.16 |
Used farm numbers from 2007 Census of Agriculture (at left) |
0..83 |
|
KY |
348,023 |
0.51 |
1,498 |
1.99 |
1.10 |
325,000 |
0.51 |
1.10 |
||
WA |
28,545 |
0.04 |
1,463 |
1.94 |
0.80 |
(D) |
|
|
||
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
||
3-State total |
530,551 |
0.78 |
4,350 |
5.77 |
2.77 |
(D) |
|
|
||
21-State total |
63,590,451 |
93.80 |
59,557 |
78.97 |
87.87 |
(D) |
(D) |
(D) |
Identify those States with ±20 percent or more change from
2002 to 2007 Census for all hogs and pigs and for farms.
All Hogs & Pigs |
Farms |
||||||
State |
2002 |
2007 |
% Change 2007/2002 |
State |
2002 |
2007 |
% Change 2007/2002 |
|
|
|
|
|
|
|
|
AK |
1,201 |
757 |
63.03 |
AL |
576 |
753 |
130.73 |
DE |
11,775 |
8,955 |
76.05 |
AZ |
208 |
378 |
181.73 |
FL |
33,479 |
19,937 |
59.55 |
AR* |
846 |
1,142 |
134.99 |
HI |
23,364 |
14,933 |
63.91 |
CT |
157 |
344 |
155.41 |
ID |
23,352 |
32,794 |
140.43 |
FL |
1,471 |
1,906 |
129.57 |
IA |
15,486,531 |
19,295,092 |
124.59 |
ID |
841 |
657 |
78.12 |
KS |
1,520,996 |
1,885,252 |
123.95 |
IL |
3,929 |
2,864 |
72.89 |
LA |
18,262 |
10,615 |
58.13 |
ME |
328 |
437 |
133.23 |
NJ |
14,162 |
8,551 |
60.38 |
MA |
273 |
453 |
165.93 |
NM |
3,489 |
1,972 |
56.52 |
MI |
2,180 |
2,691 |
123.44 |
ND |
138,838 |
181,679 |
130.86 |
MN |
5,628 |
4,382 |
77.86 |
OH |
1,422,966 |
1,831,084 |
128.68 |
NE |
3,075 |
2,213 |
71.97 |
TN |
230,532 |
138,207 |
59.95 |
NH |
208 |
266 |
127.88 |
TX |
953,290 |
1,155,790 |
121.24 |
NJ |
357 |
271 |
75.91 |
VT |
2,019 |
2,701 |
133.78 |
NY |
1,527 |
1,871 |
122.53 |
WV |
12,773 |
8.948 |
70.05 |
RI |
64 |
103 |
160.94 |
|
|
|
|
SD |
1,506 |
959 |
63.68 |
|
|
|
|
VT |
206 |
249 |
120.87 |
|
|
|
|
VA |
855 |
1,240 |
145.03 |
|
|
|
|
WA |
961 |
1,463 |
152.24 |
|
|
|
|
WY |
184 |
272 |
147.83 |
Discussion of State selection based upon all hog and pig data presented in above
tables 1-4.
Most of the 17 States in the previous NAHMS swine study conducted in 2006 are still important States based upon the 2007 Census and the December 1, 2010, inventories. However, Arkansas was included in 2006 study due to special State interests but will not be included in the 2012 study due to the small number of farms and inventory. Also Colorado was in the previous study but current number of farms and inventory do not qualify them for inclusion in 2012.
All nine States listed in the previous table with 2 percent or more of farms and inventory were in the previous study and currently are in the quarterly NASS program. The quarterly program includes the publication of State-level estimates for the 16 States with the largest hog and pig inventories in the United States.
The States listed in the previous table with the criteria of 2 percent or more of either farms or inventory should receive consideration for inclusion in the 2012 study. Three States that met the criteria based upon number of farms have very small inventories—FL, NY, and TN—so are not to be included in the study. Five of the six remaining States are in the quarterly NASS program and also were in the previous NAHMS swine study so these should be included—KS, MI, PA, SD, and TX. WI is the remaining State for consideration. From 2002 to 2007 WI inventory numbers dropped 18 percent and the number of farms increased 7 percent. A 3-percent decrease in inventory was seen more recently between December 2009 and December 2010. WI is no longer in the NASS quarterly program and the size of their inventory is less than CO and UT who are in the quarterly program, but do not meet the table 2 or 3 criteria. Therefore, as a first look at the States for the program, WI should be excluded. This would leave 14 States to be included in the study. These States represent 92.69 percent of all hog and pig inventory on December 1, 2010, and 79.97 percent of farms with hogs and pigs in the 2007 Census of Agriculture.
Discussion of State selection relevant to regional representation.
The 2006 Swine study reported estimates via four regions. Due to the reduction in the number of States, possibly new regional boundaries maybe for two or three regions should be developed.
7. Recommended hogs and pigs study States for further discussion.
|
2007 Census of Agriculture |
NASS Hogs & Pigs, Dec. 2010 |
||||||||
|
Hogs & Pigs |
Farms |
|
Hogs & Pigs (12/1/10) |
Farms |
|
||||
State |
Number |
% |
Number |
% |
Wtd. % |
Number |
% |
|
|
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
U.S. |
67,786,318 |
100.00 |
75,442 |
100.00 |
100.0 |
64,325,000 |
100.00 |
Used farm numbers from 2007 Census of Agriculture (at left) |
|
|
|
|
|
|
|
|
|
|
|
||
IL |
4,298,716 |
6.34 |
2,864 |
3.80 |
5.32 |
4,300,000 |
6.68 |
5.53 |
||
IN |
3,669,057 |
5.41 |
3,420 |
4.53 |
5.06 |
3,650,000 |
5.67 |
5.22 |
||
IA |
19,295,092 |
28.46 |
8,330 |
11.04 |
21.50 |
18,900,000 |
29.38 |
22.05 |
||
KS |
1,885,252 |
2.78 |
1,454 |
1.93 |
2.44 |
1,810,000 |
2.81 |
2.46 |
||
MI |
1,032,054 |
1.52 |
2,691 |
3.57 |
2.34 |
1,040,000 |
1.62 |
2.40 |
||
MN |
7,652,284 |
11.29 |
4,382 |
5.81 |
9.10 |
7,700,000 |
11.97 |
9.51 |
||
MO |
3,101,469 |
4.58 |
2,999 |
3.98 |
4.34 |
2,900,000 |
4.51 |
4.30 |
||
NE |
3,268,544 |
4.82 |
2,213 |
2.93 |
4.07 |
3,100,000 |
4.82 |
4.06 |
||
NC |
10,134,004 |
14.95 |
2,836 |
3.76 |
10.47 |
8,800,000 |
13.68 |
9.71 |
||
OH |
1,831,084 |
2.70 |
3,718 |
4.93 |
3.59 |
2,030,000 |
3.16 |
3.86 |
||
OK |
2,398,372 |
3.54 |
2,702 |
3.58 |
3.56 |
2,330,000 |
3.62 |
3.61 |
||
PA |
1,167,449 |
1.72 |
3,637 |
4.82 |
2.96 |
1,110,000 |
1.73 |
2.96 |
||
SD |
1,490,034 |
2.20 |
959 |
1.27 |
1.83 |
1,290,000 |
2.01 |
1.71 |
||
TX |
1,155,790 |
1.71 |
4,471 |
5.93 |
3.39 |
660,000 |
1.03 |
2.99 |
||
|
|
|
|
|
|
|
|
|
||
14-State total |
62,379,201 |
92.02 |
46,676 |
61.88 |
79.97 |
59,620,000 |
92.69 |
|
80.37 |
8. State selection based upon additional discussion with NAHMS staff.
Additional information is needed specifically for the population of producers with 100 or more total hogs and pigs, as this was the criterion used in the previous two swine studies.
II. Process for 1-99 hogs and pigs—individual State contribution (2007 Census of Agriculture):
The purpose of this evaluation is to identify those States with smaller size operations that might be included in a CATI study similar to the one previously conducted in 2007.
Identify States with 2 percent or more of the U.S. total for both number of hogs and pigs (1-99) and number of farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
1-99 Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
622,032 |
100.00 |
52,521 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL1,2 |
Q |
25,219 |
4.05 |
1,203 |
2.29 |
3.35 |
|
|
|
||
IN1,2 |
Q |
31,903 |
5.13 |
1,839 |
3.50 |
4.48 |
|
|
|
||
IA1,2 |
Q |
38,935 |
6.26 |
1,365 |
2.60 |
4.80 |
|
|
|
||
MI1,2 |
Q |
28,199 |
4.53 |
2,138 |
4.07 |
4.35 |
|
|
|
||
MN1,2 |
Q |
28,886 |
4.64 |
1,490 |
2.84 |
3.92 |
|
|
|
||
MO1,2 |
Q |
33,955 |
5.46 |
2,034 |
3.87 |
4.82 |
|
|
|
||
NC1,2 |
Q |
12,849 |
2.07 |
1,095 |
2.08 |
2.07 |
|
|
|
||
OH1,2 |
Q |
34,112 |
5.48 |
2,686 |
5.11 |
5.34 |
|
|
|
||
OK1,2 |
Q |
22,720 |
3.65 |
2,551 |
4.86 |
4.13 |
|
|
|
||
PA1,2 |
Q |
31,487 |
5.06 |
2,907 |
5.53 |
5.25 |
|
|
|
||
TX1,2 |
Q |
31,759 |
5.11 |
4,369 |
8.32 |
6.39 |
|
|
|
||
VA |
|
12,984 |
2.09 |
1,143 |
2.18 |
2.12 |
|
|
|
||
WI1,2 |
|
39,300 |
6.32 |
2,698 |
5.14 |
5.85 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
13-State total |
372,308 |
59.85 |
27,518 |
52.39 |
56.87 |
|
|
|
1 One of 17 States in the 2006 Swine Study.
2 One of 30 States in the 2007 Small-Enterprise Swine Study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
Identify remaining States with 2 percent or more of either number of hogs and pigs (1-99) or number of farms for 2007.
|
2007 Census of Agriculture |
|
|||||||||
|
1-99 Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
622,032 |
100.00 |
52,521 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
AR1,2 |
|
9,017 |
1.45 |
995 |
1.89 |
1.63 |
|
|
|
||
CO1,2 |
Q |
10,184 |
1.64 |
1,106 |
2.11 |
1.82 |
|
|
|
||
KS1,2 |
Q |
18,224 |
2.93 |
988 |
1.88 |
2.51 |
|
|
|
||
GA2 |
|
9,401 |
1.51 |
1,008 |
1.92 |
1.67 |
|
|
|
||
KY |
|
12,053 |
1.94 |
1,318 |
2.51 |
2.17 |
|
|
|
||
MS2 |
|
33,955 |
5.46 |
622 |
1.18 |
3.75 |
|
|
|
||
NE1,2 |
Q |
17,765 |
2.86 |
696 |
1.33 |
2.24 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
7-State total |
110,599 |
17.79 |
6,733 |
12.82 |
15.79 |
|
|
|
|||
20-State total |
482,907 |
77.64 |
34,251 |
65.21 |
72.66 |
|
|
|
|
Identify remaining States roughly close to the 2-percent cutoff level either period.
|
2007 Census of Agriculture |
|
|||||||||
|
1-99 Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
622,032 |
100.00 |
52,521 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
SC2 |
|
6,754 |
1.09 |
729 |
1.39 |
1.21 |
|
|
|
||
SD1,2 |
Q |
9,355 |
1.50 |
377 |
.72 |
1.19 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
2-State total |
16,109 |
2.59 |
1,106 |
2.11 |
2.40 |
|
|
|
|||
22-State total |
499,016 |
80.23 |
35,357 |
67.32 |
75.06 |
|
|
|
|
Discussion of State Selection based upon 1-99
Twenty-two States would bring coverage close to the NAHMS standard of covering 70% of both producers and animals for the population of interest, although farm coverage here of 67.3% is slightly on the low side. Discussions within NAHMS and other units within the Centers for Epidemiology and Animal Health centered on the desire to replicate the 2007 Small Enterprise Swine Study which included in addition many coastal States for a total of 31 States. Therefore, 31 States will be included in the study for the 1-99 population.
III. Process for 100+ all hogs and pigs—individual State contribution (2007 Census of Agriculture):
The previous NAHMS swine study conducted in 2006 focused on operations with 100 or more total hogs and pigs.
Identify States with 2 percent or more of the U.S. total for both
number of 100+ hogs and pigs and number of farms for 2007
inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
100+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
67,164,286 |
100.00 |
22,921 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
4,273,497 |
6.36 |
1,661 |
7.25 |
6.72 |
|
|
|
||
IN* |
Q |
3,637,154 |
5.42 |
1,581 |
6.90 |
6.01 |
|
|
|
||
IA* |
Q |
19,256,157 |
28.67 |
6,965 |
30.39 |
29.36 |
|
|
|
||
KS* |
Q |
1,867,028 |
2.78 |
466 |
2.03 |
2.48 |
|
|
|
||
MN* |
Q |
7,623,398 |
11.35 |
2,892 |
12.62 |
11.86 |
|
|
|
||
MO* |
Q |
3,067,514 |
4.57 |
965 |
4.21 |
4.42 |
|
|
|
||
NE* |
Q |
3,250,779 |
4.84 |
1,517 |
6.62 |
5.55 |
|
|
|
||
NC* |
Q |
10,121,155 |
15.07 |
1,741 |
7.60 |
12.08 |
|
|
|
||
OH* |
Q |
1,796,972 |
2.68 |
1,032 |
4.50 |
3.41 |
|
|
|
||
SD* |
Q |
1,480,679 |
2.20 |
582 |
2.54 |
2.34 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
10-State total |
56,374,333 |
83.96 |
19,402 |
84.66 |
84.23 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
Identify remaining States with 2 percent or more of either number of
100+ hogs and pigs or number of farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
100+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
MI* |
Q |
1,003,855 |
1.49 |
553 |
2.41 |
1.86 |
|
|
|
|
|
OK |
Q |
2,375,652 |
3.54 |
151 |
0.66 |
2.39 |
|
|
|
||
PA* |
Q |
1,135,962 |
1.69 |
730 |
3.18 |
2.29 |
|
|
|
||
WI* |
|
397,514 |
0.59 |
490 |
2.14 |
1.21 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
4-State total |
4,912,983 |
7.31 |
1,924 |
8.39 |
7.75 |
|
|
|
|||
14-State total |
61,287,316 |
91.27 |
21,326 |
93.05 |
91.98 |
|
|
|
Identify remaining States roughly close to the 2-percent cutoff level.
|
2007 Census of Agriculture |
|
|||||||||
|
100+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
TX* |
Q |
1,124,031 |
1.67 |
102 |
0.45 |
1.18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||
1-State total |
1,124,031 |
1.67 |
102 |
0.45 |
1.18 |
|
|
|
|||
15-State total |
62,411,347 |
92.94 |
21,428 |
93.50 |
93.16 |
|
|
|
Discussion of State Selection based upon 100+ Hog and Pig Data in above tables 1-3.
If the 15 States were considered, the only States missing from the 16 States in the NASS quarterly hog and pig program are CO and UT. Compared to the 17 States in the Swine 2006 study only AR and CO are missing from the above 15 States identified.
Does APHIS really need 15 States in the program? The December 1, 2010, inventory report shows TX at 660,000 head or a little over one-half of what it was in 2007, so it could probably be excluded even though it was in the previous study. The next State that might be eligible for deletion would be WI which is not in the quarterly program and has a December 1, 2010, inventory of 340,000, or down about 15 percent. MI is the next State which should receive consideration for dropping due to its size and coverage by nearby States so it could be dropped as well (supported also by the evaluation of tables related to a cutoff level of 1,000 head or more. The other two States in table 2 have currently similar inventories as in 2007. Are these two States needed for geographic representation? In Swine 2006 TX was summarized in the South region which included AR, NC, and OK. Certainly swine production in TX can easily be represented by OK; however, it is desirable to include them for representation and the potential for feral pig exposure. The location of WI is such that there are many nearby States which can represent them. The conclusion is therefore to focus on the 13 remaining States for NAHMS staff consideration and discussion.
5. Final swine study States: 13 States based upon contribution to
the U.S. total for both number of 100+ hogs and pigs and number of
farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
100+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
67,164,286 |
100.00 |
22,921 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
4,273,497 |
6.36 |
1,661 |
7.25 |
6.72 |
|
|
|
||
IN* |
Q |
3,637,154 |
5.42 |
1,581 |
6.90 |
6.01 |
|
|
|
||
IA* |
Q |
19,256,157 |
28.67 |
6,965 |
30.39 |
29.36 |
|
|
|
||
KS* |
Q |
1,867,028 |
2.78 |
466 |
2.03 |
2.48 |
|
|
|
||
MN* |
Q |
7,623,398 |
11.35 |
2,892 |
12.62 |
11.86 |
|
|
|
||
MO* |
Q |
3,067,514 |
4.57 |
965 |
4.21 |
4.42 |
|
|
|
||
NE* |
Q |
3,250,779 |
4.84 |
1,517 |
6.62 |
5.55 |
|
|
|
||
NC* |
Q |
10,121,155 |
15.07 |
1,741 |
7.60 |
12.08 |
|
|
|
||
OH* |
Q |
1,796,972 |
2.68 |
1,032 |
4.50 |
3.41 |
|
|
|
||
OK |
Q |
2,375,652 |
3.54 |
151 |
0.66 |
2.39 |
|
|
|
||
PA* |
Q |
1,135,962 |
1.69 |
730 |
3.18 |
2.29 |
|
|
|
||
SD* |
Q |
1,480,679 |
2.20 |
582 |
2.54 |
2.34 |
|
|
|
||
TX* |
Q |
1,124,031 |
1.67 |
102 |
0.45 |
1.18 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
13-State total |
61,009,978 |
90.84 |
20,385 |
88.95 |
90.09 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
6. Regional breakout for the final swine study States: 13 States
based upon contribution to the U.S. total for both number of 100+
hogs and pigs and number of farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
100+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
South |
|
|
|
|
|
|
|
|
|||
NC* |
Q |
10,121,155 |
15.07 |
1,741 |
7.60 |
12.08 |
|
|
|
||
OK |
Q |
2,375,652 |
3.54 |
151 |
0.66 |
2.39 |
|
|
|
||
TX* |
Q |
1,124,031 |
1.67 |
102 |
0.45 |
1.18 |
|
|
|
||
|
|
13,620,838 |
20.28 |
1,994 |
8.71 |
15.65 |
|
|
|
||
Central |
|
|
|
|
|
|
|
||||
IA* |
Q |
19,256,157 |
28.67 |
6,965 |
30.39 |
29.36 |
|
|
|
||
IL* |
Q |
4,273,497 |
6.36 |
1,661 |
7.25 |
6.71 |
|
|
|
||
IN* |
Q |
3,637,154 |
5.42 |
1,581 |
6.90 |
6.01 |
|
|
|
||
MN* |
Q |
7,623,398 |
11.35 |
2,892 |
12.62 |
11.86 |
|
|
|
||
OH* |
Q |
1,796,972 |
2.68 |
1,032 |
4.50 |
3.41 |
|
|
|
||
PA* |
Q |
1,135,962 |
1.69 |
730 |
3.18 |
2.28 |
|
|
|
||
|
|
37,723,140 |
56.17 |
14,861 |
64.84 |
59.63 |
|
|
|
||
West Central |
|
|
|
|
|
|
|
||||
KS* |
Q |
1,867,028 |
2.78 |
466 |
2.03 |
2.48 |
|
|
|
||
MO* |
Q |
3,067,514 |
4.57 |
965 |
4.21 |
4.43 |
|
|
|
||
NE* |
Q |
3,250,779 |
4.84 |
1,517 |
6.62 |
5.55 |
|
|
|
||
SD* |
Q |
1,480,679 |
2.20 |
582 |
2.54 |
2.34 |
|
|
|
||
|
9,666,000 |
14.39 |
3,530 |
15.40 |
14.80 |
|
|
|
|||
13-State total |
61,009,978 |
90.84 |
20,385 |
88.95 |
90.08 |
|
|
|
|||
U.S. |
67,164,286 |
100.00 |
22,921 |
100.00 |
|
|
|
|
|
* One of 17 States in the 2006 Swine Study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
IV. Process for 500+ all hogs and pigs—individual State contribution (2007 Census of Agriculture):
The purpose of this evaluation is to look at the subpopulation of producers which might be an option in place of the lower 100 head or more cutoff level for personal interviews.
Identify States with 2 percent or more of the U.S. total for both
number of 500+ hogs and pigs and number of farms for 2007
inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
500+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
65,342,700 |
100.00 |
15,807 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
4,132,454 |
6.32 |
1,136 |
7.19 |
6.67 |
|
|
|
||
IN* |
Q |
3,492,869 |
5.35 |
1,066 |
6.74 |
5.90 |
|
|
|
||
IA* |
Q |
18,742,923 |
28.68 |
5,118 |
32.38 |
30.16 |
|
|
|
||
MN* |
Q |
7,436,624 |
11.38 |
2,214 |
14.01 |
12.43 |
|
|
|
||
MO* |
Q |
2,963,353 |
4.54 |
528 |
3.34 |
4.06 |
|
|
|
||
NE* |
Q |
3,081,516 |
4.72 |
882 |
5.58 |
5.06 |
|
|
|
||
NC* |
Q |
10,101,567 |
15.46 |
1,652 |
10.45 |
13.46 |
|
|
|
||
OH* |
Q |
1,709,635 |
2.62 |
680 |
4.30 |
3.29 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
8-State total |
51,660,941 |
79.07 |
13,276 |
83.99 |
81.03 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
Identify remaining States with 2 percent or more of either number of
500+ hogs and pigs or number of farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
500+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
KS* |
Q |
1,816,844 |
2.78 |
249 |
1.58 |
2.30 |
|
|
|
|
|
MI* |
Q |
946,685 |
1.45 |
313 |
1.98 |
1.66 |
|
|
|
||
OK* |
Q |
2,367,660 |
3.62 |
111 |
0.70 |
2.45 |
|
|
|
||
PA* |
Q |
1,077,360 |
1.65 |
482 |
3.05 |
2.21 |
|
|
|
||
SD* |
Q |
1,429,169 |
2.19 |
364 |
2.30 |
2.23 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
5-State total |
7,637,718 |
11.69 |
1,519 |
9.61 |
10.85 |
|
|
|
|||
13-State total |
59,298,659 |
90.76 |
14,795 |
93.60 |
91.88 |
|
|
|
Identify remaining States roughly close to the 2-percent cutoff level.
|
2007 Census of Agriculture |
|
|||||||||
|
500+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
TX* |
Q |
1,106,919 |
1.69 |
20 |
0.13 |
1.07 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||
1-State total |
1,106,919 |
1.69 |
20 |
0.13 |
1.07 |
|
|
|
|||
14-State total |
60,405,578 |
92.45 |
14,815 |
93.73 |
92.95 |
|
|
|
Discussion of State Selection based upon 500+ Hog and Pig Data in above tables 1-3.
Based upon the decisions made for the 100+ tables and also the 1,000+ tables which both support the 13 States, the final recommendation table below is based upon those 13 States.
5. Final swine study States: 13 States based upon contribution to
the U.S. total for both number of 500+ hogs and pigs and number of
farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
500+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
65,342,700 |
100.00 |
15,807 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
4,132,454 |
6.32 |
1,136 |
7.19 |
6.67 |
|
|
|
||
IN* |
Q |
3,492,869 |
5.35 |
1,066 |
6.74 |
5.90 |
|
|
|
||
IA* |
Q |
18,742,923 |
28.68 |
5,118 |
32.38 |
30.16 |
|
|
|
||
KS* |
Q |
1,816,844 |
2.78 |
249 |
1.58 |
2.30 |
|
|
|
||
MN* |
Q |
7,436,624 |
11.38 |
2,214 |
14.01 |
12.43 |
|
|
|
||
MO* |
Q |
2,963,353 |
4.54 |
528 |
3.34 |
4.06 |
|
|
|
||
NE* |
Q |
3,081,516 |
4.72 |
882 |
5.58 |
5.06 |
|
|
|
||
NC* |
Q |
10,101,567 |
15.46 |
1,652 |
10.45 |
13.46 |
|
|
|
||
OH* |
Q |
1,709,635 |
2.62 |
680 |
4.30 |
3.29 |
|
|
|
||
OK* |
Q |
2,367,660 |
3.62 |
111 |
0.70 |
2.45 |
|
|
|
||
PA* |
Q |
1,077,360 |
1.65 |
482 |
3.05 |
2.21 |
|
|
|
||
SD* |
Q |
1,429,169 |
2.19 |
364 |
2.30 |
2.23 |
|
|
|
||
TX* |
Q |
1,106,919 |
1.69 |
20 |
0.13 |
1.07 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
13-State total |
59,458,893 |
91.00 |
14,502 |
91.75 |
91.29 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
V. Process for 1,000+ all hogs and pigs—individual State contribution (2007 Census of Agriculture):
The purpose of this evaluation is to look at the subpopulation of producers which might be an option in place of the lower 100 head or more cutoff or even the 500 head or more cutoff level for personal interviews.
Identify States with 2 percent or more of the U.S. total for both
number of 1,000+ hogs and pigs and number of farms for 2007
inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
1,000+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
U.S. |
62,854,466 |
100.00 |
12,219 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
3,943,260 |
6.27 |
867 |
7.10 |
6.60 |
|
|
|
||
IN* |
Q |
3,281,223 |
5.22 |
749 |
6.13 |
5.58 |
|
|
|
||
IA* |
Q |
17,938,431 |
28.54 |
3,947 |
32.30 |
30.04 |
|
|
|
||
MN* |
Q |
7,114,858 |
11.32 |
1,755 |
14.36 |
12.54 |
|
|
|
||
MO* |
Q |
2,860,211 |
4.55 |
382 |
3.13 |
3.98 |
|
|
|
||
NE* |
Q |
2,861,228 |
4.55 |
564 |
4.62 |
4.58 |
|
|
|
||
NC* |
Q |
10,066,667 |
16.02 |
1,604 |
13.13 |
14.86 |
|
|
|
||
OH* |
Q |
1,608,158 |
2.56 |
532 |
4.35 |
3.28 |
|
|
|
||
SD* |
Q |
1,359,545 |
2.16 |
263 |
2.15 |
2.16 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
9-State total |
51,033,581 |
81.19 |
10,663 |
87.27 |
83.62 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
Identify remaining States with 2 percent or more of either number of
1,000+ hogs and pigs or number of farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
1,000+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
KS* |
Q |
1,763,213 |
2.81 |
174 |
1.42 |
2.25 |
|
|
|
|
|
OK* |
Q |
2,356,103 |
3.75 |
95 |
0.78 |
2.56 |
|
|
|
||
PA* |
Q |
997,755 |
1.59 |
365 |
2.99 |
2.15 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
3-State total |
5,117,071 |
8.15 |
634 |
5.19 |
6.96 |
|
|
|
|||
12-State total |
56,150,652 |
90.49 |
11,297 |
92.46 |
90.58 |
|
|
|
Identify remaining States roughly close to the 2-percent cutoff level.
|
2007 Census of Agriculture |
|
|||||||||
|
1,000+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
MI* |
Q |
871,319 |
1.39 |
209 |
1.71 |
1.52 |
|
|
|
|
|
TX* |
Q |
1,100,460 |
1.75 |
11 |
0.09 |
1.09 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||
2-State total |
1,971,779 |
3.14 |
220 |
1.80 |
2.61 |
|
|
|
|||
14-State total |
58,122,431 |
93.66 |
11,517 |
94.26 |
93.19 |
|
|
|
Discussion of State selection based upon 1,000+ hog and pig data in above tables 1-3.
The inclusion of TX is important due to their different rearing practices and also their higher potential impact with feral swine. The State of MI could be deleted based upon their small contribution to the US total and coverage of other nearby States geographically. Therefore, 13 States would represent this population of producers.
5. Final swine study States: 13 States based upon contribution to
the U.S. total for both number of 1000+ hogs and pigs and number of
farms for 2007 inventory.
|
2007 Census of Agriculture |
|
|||||||||
|
1,000+ Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
||
U.S. |
62,854,466 |
100.00 |
12,219 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
3,943,260 |
6.27 |
867 |
7.10 |
6.60 |
|
|
|
||
IN* |
Q |
3,281,223 |
5.22 |
749 |
6.13 |
5.58 |
|
|
|
||
IA* |
Q |
17,938,431 |
28.54 |
3,947 |
32.30 |
30.04 |
|
|
|
||
KS* |
Q |
1,763,213 |
2.81 |
174 |
1.42 |
2.25 |
|
|
|
||
MN* |
Q |
7,114,858 |
11.32 |
1,755 |
14.36 |
12.54 |
|
|
|
||
MO* |
Q |
2,860,211 |
4.55 |
382 |
3.13 |
3.98 |
|
|
|
||
NE* |
Q |
2,861,228 |
4.55 |
564 |
4.62 |
4.58 |
|
|
|
||
NC* |
Q |
10,066,667 |
16.02 |
1,604 |
13.13 |
14.86 |
|
|
|
||
OH* |
Q |
1,608,158 |
2.56 |
532 |
4.35 |
3.28 |
|
|
|
||
OK* |
Q |
2,356,103 |
3.75 |
95 |
0.78 |
2.56 |
|
|
|
||
PA* |
Q |
997,755 |
1.59 |
365 |
2.99 |
2.15 |
|
|
|
||
SD* |
Q |
1,359,545 |
2.16 |
263 |
2.15 |
2.16 |
|
|
|
||
TX* |
Q |
1,100,460 |
1.75 |
11 |
0.09 |
1.09 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
13-State total |
57,251,112 |
91.09 |
11,308 |
92.55 |
91.67 |
|
|
|
* One of 17 States in the 2006 Swine study.
Q = One of 16 States in the NASS quarterly hog and pig estimation program.
VI. Process for 100-999 all hogs and pigs—individual State contribution (2007 Census of Agriculture):
The purpose of this evaluation is to look at the subpopulation of producers which might be covered via an optional less expensive data collection mode such as CATI in place of the lower 100 head or more cutoff level for personal interviews.
Identify individual State contribution for those 13 States
previously important for the 1,000+ category.
|
2007 Census of Agriculture |
|
|||||||||
|
100-999 Hogs & Pigs |
Farms |
|
|
|
|
|||||
State |
Number |
% |
Number |
% |
Wtd. % |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|
||
U.S. |
4,309,820 |
100.00 |
10,702 |
100.00 |
100.0 |
|
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
IL* |
Q |
330,237 |
7.66 |
794 |
7.42 |
7.57 |
|
|
|
||
IN* |
Q |
355,931 |
8.26 |
832 |
7.77 |
8.06 |
|
|
|
||
IA* |
Q |
1,317,726 |
30.57 |
3,018 |
28.20 |
29.63 |
|
|
|
||
KS* |
Q |
103,815 |
2.41 |
292 |
2.73 |
2.25 |
|
|
|
||
MN* |
Q |
508,540 |
11.80 |
1,137 |
10.62 |
11.33 |
|
|
|
||
MO* |
Q |
207,303 |
4.81 |
583 |
5.45 |
5.07 |
|
|
|
||
NE* |
Q |
389,551 |
9.04 |
953 |
8.90 |
8.99 |
|
|
|
||
NC* |
Q |
54,488 |
1.26 |
137 |
1.28 |
1.27 |
|
|
|
||
OH* |
Q |
188,814 |
4.38 |
500 |
4.67 |
4.50 |
|
|
|
||
OK* |
Q |
19,549 |
0.45 |
56 |
0.52 |
0.48 |
|
|
|
||
PA* |
Q |
138,207 |
3.21 |
365 |
3.41 |
3.29 |
|
|
|
||
SD* |
Q |
121,134 |
2.81 |
319 |
2.98 |
2.88 |
|
|
|
||
TX* |
Q |
23,571 |
0.55 |
91 |
0.85 |
0.67 |
|
|
|
||
|
|
|
|
|
|
|
|
|
|||
13-State total |
3,758,866 |
87.21 |
9,077 |
84.80 |
85.99 |
|
|
|
2. The initial sampling plan called for a survey of this population
via CATI. Subsequent discussions including swine industry
representatives suggested a desire for a complete data file for all
producers in the sample selected with 100 head or more.
Appendix B: Review of Previous Response Rates
1. Historic Sample Performance Recent Studies - Detail
NASS Enumerator response rates for recent studies:
Sheep 2010 Goat 2009 Beef 2008_ Dairy 2007
Response category No. Ops. % No. Ops. % No. Ops. % No. Ops. %
Complete & VMO consent 1,241 35.0 1,438 41.1 1,033 25.8 1,077 30.3
Complete & refused cons. 1,128 31.8 397 11.3 1,126 28.1 1,117 31.4
No inventory 212 6.0 797 22.8 469 11.7 214 6.0
Out of business 81 2.3 241 6.9 244 6.1 111 3.1
Out of scope 17 0.5 9 0.3 7 0.2 6 0.2
Refusal 530 15.0 316 9.0 776 19.4 785 22.1
Office hold 69 1.9 19 0.5 46 1.2 126 3.6
Inaccessible 264 7.5 284 8.1 300 7.5 118 3.3
3,542 100.0 3,501 100.0 4,001 100.0 3,554 100.0
Note: Sheep all complete questionnaires = 2,079; 43.9% consented for turn over to VS.
Goat all complete questionnaires = 1,835; 78.4% consented for turn over to VS.
Beef all complete questionnaires = 2,159; 47.8% consented for turn over to VS.
Dairy all complete questionnaires = 2,194; 49.1% consented for turn over to VS.
2. Swine Historic Sample Performance Overview
Small Enterprise Swine 2007
Questionnaire |
Collection dates |
Sample |
Compl. |
Compl. % |
Good* |
% Good |
Screener(NASS) mail and telephone |
5/14-5/31/07 |
8,038 |
2,567 |
31.9 |
|
|
General Swine Farm Report (NASS) mail and telephone |
8/2-9/18/07 |
2,567 |
1,778 |
69.3 |
2,050 |
79.9 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
*Complete data including out of business and zero inventory.
Swine 2006
Questionnaire |
Collection dates |
Sample |
Compl. |
Compl. % |
Good* |
% Good |
General Swine Farm Report (NASS) enumerator |
7/17-9/15/06 |
5,157 |
2,230 |
43.2 |
3,222 |
62.5 |
Initial VS Visit |
9/5/06-3/15/07 |
1,005 |
514 |
51.1 |
|
|
Second VS Visit |
12/4/06-3/15/07 |
514 |
435 |
84.6 |
|
|
|
|
|
|
|
|
|
*Complete data including out of business and zero inventory.
Swine 2000
Questionnaire |
Collection dates |
Sample |
Compl. |
Compl. % |
Good* |
% Good |
Screener (NASS) mail and telephone |
4/1-5/31/00 |
12,988 |
7,156 |
55.1 |
|
|
General Swine Farm (NASS) enumerator |
6/1-7/14/00 |
4,749 |
2,328 |
49.0 |
2,576 |
54.2 |
Initial VS Visit |
8/21-11/3/00 |
1,316 |
895 |
68.0 |
|
|
Second VS Visit |
12/1/00-2/28/01 |
895 |
799 |
89.3 |
|
|
*Complete data including out of business and zero inventory.
2. Swine 2006 Sample Performance - Detail
No screening samples were drawn as in Swine 2000. The same 17 States were included as in Swine 2000.
a. General Swine Farm Report (NASS) response rates compared to Dairy 2007:
Dairy 2007__
Response category No. Ops. % of total No. Sites % of total No. Ops. %
Complete & VMO consent 912 18.2 1,005 19.5 1,077 30.3
Complete & refused cons. 1,167 23.3 1,225 23.8 1,117 31.4
No pigs on 6/1/2006 696 13.9 696 13.5 214 6.0
Out of business 296 5.9 296 5.7 111 3.1
Out of scope 13 0.3 13 0.3 6 0.2
Refusal 1,327 26.5 1,327 25.7 785 22.1
Office hold 315 6.3 315 6.1 126 3.6
Inaccessible 280 5.6 280 5.4 118 3.3
5,006 100.0 5,157 100.0 3,554 100.0
Note: Swine all complete questionnaires = 2,079; 43.9% consented for turn over to VS.
Dairy all complete questionnaires = 2,194; 49.1% consented for turn over to VS.
b. VMO response rates:
Initial VMO Visit Dairy In. Visit Second VMO Visit
Response category No. Ops. % of total No. Ops. % No. Ops. % of total
Complete 514 51.1 582 54.0 435 84.6
Refusal 380 35.3
Ineligible 4 0.4
Inaccessible 111 10.3
1,005 100.0 1,077 100.0 514 100.0
3. Swine 2000 Sample Performance - Detail
Screening sample drawn in 17 NASS quarterly hog and pig States.
a. Screening response rates:
Response category No. Ops. % of total
Eligible (100+inventory) 7,156 55.1
Not eligible 3,189 24.6
Out of business 537 4.1
Out of scope 256 2.0
Refusal 1,040 8.0
Inaccessible 810 6.2
12,988 100.0
Out of the 7,156 eligible operations with 100 head or more total inventory, 4,749 were randomly selected for the on-farm study.
b. General Swine Farm Report (NASS) response rates compared to Dairy 2002:
Dairy 2007__
Response category No. Ops. % of total No. Sites % of total No. Ops. %
Complete & VMO consent 1,208 25.4 1,316 26.7 1,556 40.2
Complete & refused cons. 1,120 23.6 1,183 24.0 905 23.3
No pigs on 6/1/2000 181 3.8 181 3.7 227 5.9
Out of business 67 1.4 67 1.4 183 4.7
Out of scope 29 0.6 29 0.6 45 1.2
Refusal 1,736 36.6 1,736 35.3 821 21.2
Inaccessible 408 8.6 408 8.3 139 3.5
4,749 100.0 4,920 100.0 3,876 100.0
Note: Swine all complete questionnaires = 2,328; 51.9% consented for turn over to VS.
Dairy all complete questionnaires = 2,461; 63.2% consented for turn over to VS.
Consent for further participation in the Swine study was asked on June 1 of those with 100+ head. There were 2,499 sites with good, positive, complete data or 50.8% (63.4 % for Dairy 2002) of the total sample (56.4 % if zeroes, out of business and out of scope are included – compares to 75.2% for Dairy 2002).
The summarized complete data included 2,499 sites of which 1,316 consented (52.7% compared to a consent rate for Dairy 2002 of 61.4%). For the dairy 2002 study 3.0% completed the survey but were ineligible for the VMO phase – this should be a coding requirement for Swine 2006 since there will be a greater chance of being ineligible than in Swine 2000, due to the screening sample used. The comparison of swine and dairy illustrates the need for better response rates for the 3 opportunities: - the enumerator phase (49.0 % of sample was complete for good data), consent phase, and the VMO phase (shown below).
c. VMO response rates:
Initial VMO Visit Dairy ‘02 Second VMO Visit
Response category No. Ops. % of total No. Ops. % No. Ops. % of total
Complete 895 68.0 1,013 70.4 799 89.3
Refusal 292 22.2 335 23.3 91 10.1
Ineligible 25 1.9 14 1.0 NA NA
Inaccessible 104 7.9 76 5.3 5 0.6
1,316 100.0 1,438 100.0 895 100.0
Appendix C: Total Sample Size and Allocation of Samples to States and Strata
Setting Total Sample Size for Swine 2012
Large operator component
As shown in Appendix B, the Swine 2000 selected sample of 4,749 provided 2,499 good useable data from enumerator interviews but came up a little short of good data from our VMO visit of only 895. Note: that for both of these the number of inaccessible reports seems on the high side and should be reduced.
For Swine 2006, a selected sample of 5,006 provided 2,230 good useable enumerator interviews but really fell short with only 514 complete questionnaires from the VMO visits. As a rough goal APHIS should target for 2012 APHIS want about 2,600 good useable (positive) questionnaires from the enumerator interview plus CATI and 860 good useable questionnaires from the VMO visit. Based upon these considerations, APHIS need a total sample size between 4000 and 5000. Further consideration of sample size is shown below and also in Appendix D and of course budget constraints are a major factor as well.
The 13 selected States represent 88.9% of farms (U.S. = 22,921) with 100 or more pigs and 90.8% of pigs (U.S. = 67,164,286) on farms with 100 or more pigs. In these 13 States, the total number of farms with 100 or more pigs is 20,385 and the total number pigs on these farms is 61,009,978 (NASS 2007 Census of Agriculture).
Region |
States |
# farms |
# pigs |
Central |
IL,IN,IA,MN,OH,PA |
14,861 |
37,723,140 |
APHISst |
KS,MO,NE,SD |
3,530 |
9,666,000 |
South |
NC,OK,TX |
1,994 |
13,620,838 |
To obtain estimates at the regional level with CVs similar to the ones APHIS had in past studies (NASS portion), APHIS would need the following half-widths and sample sizes with a SRS and population sizes of 15,000 (Central) and 2,000 (South) (at 95% confidence):
Percent +/- half-width |
n N=15,000 |
n N=2,000 |
SE |
CV |
1 +/- 0.5 |
1,381 |
864 |
0.3 |
25.5 |
5 +/- 1 |
1,627 |
954 |
0.5 |
10.2 |
10 +/- 2 |
817 |
603 |
1.0 |
10.2 |
25 +/- 3 |
760 |
572 |
1.5 |
6.1 |
50 +/- 5 |
375 |
322 |
2.5 |
5.1 |
75 +/- 5 |
283 |
252 |
2.5 |
3.4 |
90 +/- 10 |
34 |
34 |
5.1 |
5.7 |
If APHIS is satisfied with a CV of ~5% for estimates around 50% and CVs of 10% or greater for estimates below 50%, then it can take a sample of about 400 from the Central region, and about 300 each from the West and South regions. Assuming a design effect of 2 and a response rate of 65%, APHIS would need a sample of about ((400+300+300)*2)/0.65 = 4,000 total.
List sampling frame counts have not been provided yet by NASS as of this submission to provide a sample allocation to States and strata within States.
Small operator component
Satisfactory results were obtained from the Swine 2007 Small Enterprise Study using a sample size of 2,500 which is the primary factor is using the same size for 2012.
The 31 selected States represent 82.7% of farms (U.S.=52,520) with 1–99 pigs and 91.5% of pigs (U.S.=622,032) on farms with 1–99 pigs. In these 31 States, the total number of farms with 1–99 pigs is 43,434 and the total number of pigs* on these farms is 568,855 (NASS 2007 Census of Agriculture).
*The number of pigs was not published for some States.
Region |
States |
# farms |
# pigs |
Northeast |
IL,IN,MI,NJ,NY,OH,PA,WI |
15,535 |
210,164 |
Central |
IA,KS,MN,MO,NE,SD |
6,950 |
147,120 |
West |
AZ,CA,CO,HI,NM,WA |
4,836 |
39,695 |
South |
AL,AR,FL,GA,LA,MS,NC,OK,SC,TN,TX |
16,113 |
171,876 |
To obtain estimates at the regional level with CVs similar to the ones APHIS had in past studies (NASS portion), APHIS would need the following half-widths and sample sizes with an SRS and population sizes of 16,000 (South) and 5,000 (West) (at 95% confidence):
Percent +/- half-width |
n N=16,000 |
n N=5,000 |
SE |
CV |
1 +/- 0.5 |
1,389 |
1,166 |
0.3 |
25.5 |
5 +/- 1 |
1,638 |
1,337 |
0.5 |
10.2 |
10 +/- 2 |
820 |
737 |
1.0 |
10.2 |
25 +/- 3 |
800 |
690 |
1.5 |
6.1 |
50 +/- 5 |
375 |
357 |
2.5 |
5.1 |
50 +/- 10 |
96 |
94 |
5.1 |
10.2 |
75 +/- 5 |
283 |
272 |
2.5 |
3.4 |
90 +/- 10 |
34 |
34 |
5.0 |
5.7 |
If APHIS is satisfied with a CV of ~5% for estimates around 50% and CVs of 10% or greater for estimates below 50%, then APHIS can take a sample of about 400 each from the Northeast and South regions, and 350 each from the Central and West regions. Assuming a design effect of 2 and a response rate of 65%, APHIS would need a sample of about ((400+400+350+350)*2)/0.65 = 4,600 total.
List sampling frame counts have not been provided yet by NASS as of this submission to provide a sample allocation to States and strata within States. However, the table below does show the relative contribution of each state to the total.
Appendix D: Small Component (1-99 head) States
State |
Total Farms* |
Percent of U.S. Total |
All Hogs & Pigs Inventory* |
Percent of U.S. Total |
Weighted Percent |
CSF |
PRV |
EITHER |
WI |
2,698 |
5.14 |
39,300 |
6.32 |
5.85 |
|
|
O |
IA** |
1,365 |
2.60 |
38,935 |
6.26 |
4.80 |
X |
|
X |
OH** |
2,686 |
5.11 |
34,112 |
5.48 |
5.34 |
|
X |
X |
MO** |
2,034 |
3.87 |
33,955 |
5.46 |
4.82 |
|
X |
X |
MS |
622 |
1.18 |
33,955 |
5.46 |
3.75 |
|
X |
X |
IN** |
1,839 |
3.50 |
31,903 |
5.13 |
4.48 |
X |
|
X |
TX** |
4,369 |
8.32 |
31,759 |
5.11 |
6.39 |
X |
X |
X |
PA** |
2,907 |
5.53 |
31,487 |
5.06 |
5.25 |
|
|
O |
MN** |
1,490 |
2.84 |
28,886 |
4.64 |
3.92 |
X |
|
X |
MI |
2,138 |
4.07 |
28,199 |
4.53 |
4.35 |
|
|
O |
IL** |
1,203 |
2.29 |
25,219 |
4.05 |
3.35 |
X |
|
X |
OK** |
2,551 |
4.86 |
22,720 |
3.65 |
4.13 |
X |
X |
X |
KS** |
988 |
1.88 |
18,224 |
2.93 |
2.51 |
X |
|
X |
NE** |
696 |
1.33 |
17,765 |
2.86 |
2.24 |
X |
|
X |
NY |
1,810 |
3.45 |
17,468 |
2.81 |
3.06 |
X |
|
X |
TN |
1,469 |
2.80 |
15,495 |
2.49 |
2.61 |
|
X |
X |
NC** |
1,095 |
2.08 |
14,995 |
2.41 |
2.28 |
X |
X |
X |
FL |
1,881 |
3.58 |
13,289 |
2.14 |
2.71 |
X |
X |
X |
CA |
1,332 |
2.54 |
11,635 |
1.87 |
2.14 |
X |
X |
X |
WA |
1,439 |
2.74 |
10,899 |
1.75 |
2.15 |
X |
|
X |
CO |
1,106 |
2.11 |
10,184 |
1.64 |
1.82 |
|
|
O |
GA |
1,008 |
1.92 |
9,401 |
1.51 |
1.67 |
X |
X |
X |
SD** |
377 |
0.72 |
9,355 |
1.50 |
1.19 |
|
|
O |
AR |
995 |
1.89 |
9,017 |
1.45 |
1.63 |
|
X |
X |
AL*** |
693 |
1.32 |
7,284 |
1.17 |
1.23 |
|
X |
X |
LA |
701 |
1.33 |
7,207 |
1.16 |
1.23 |
|
X |
X |
SC |
729 |
1.39 |
6,754 |
1.09 |
1.21 |
|
X |
X |
HI*** |
196 |
0.37 |
2,740 |
0.44 |
0.41 |
X |
X |
X |
AZ |
369 |
0.70 |
2,479 |
0.40 |
0.52 |
X |
X |
X |
NJ*** |
254 |
0.48 |
2,476 |
0.40 |
0.43 |
X |
|
X |
NM*** |
394 |
0.75 |
1,758 |
0.28 |
0.47 |
X |
X |
X |
|
||||||||
31-State total |
43,434 |
82.70 |
568,855 |
91.45 |
87.95 |
|
||
US total |
52,521 |
100.00 |
622,032 |
100.00 |
100.00 |
|
||
*NASS 2007 Census of Agriculture--State data. **Also in the large and medium component ***Approximated from 2002 data |
Appendix E: NAHMS Swine 2012 Estimated Response Rates
Phase |
Response category |
Percentage in phase |
Expected counts |
Small operation questionnaire (1-99) |
|
|
|
|
Zero on hand |
20.0 |
400 |
|
Complete |
60.0 |
1,200 |
|
Refusal |
20.0 |
400 |
|
Total |
100.0 |
2,000 |
Phase I Large ops – CATI (100+) |
|
|
|
|
Zero on hand |
13.0 |
260 |
|
Hogs, but ineligible |
1.0 |
20 |
|
Complete & consent |
15.0 |
300 |
|
Complete & no consent |
40.0 |
800 |
|
Complete Phase I |
55.0 |
1,100 |
|
Out of scope |
1.0 |
20 |
|
Refusal |
30.0 |
600 |
|
Total |
100.0 |
2.000 |
Phase I Large ops – Enumerator (100+) |
|
|
|
|
Zero on hand |
13.0 |
338 |
|
Hogs, but ineligible |
1.0 |
26 |
|
Complete & consent |
25.0 |
650 |
|
Complete & no consent |
25.0 |
650 |
|
Complete Phase I |
50.0 |
1,300 |
|
Out of Scope |
1.0 |
26 |
|
Refusal |
35.0 |
910 |
|
Total |
100.0 |
2,600 |
Phase I Large ops – overall/combined CATI + Enum.
|
|
|
|
|
Zero on hand |
13.0 |
(260+338) 598 |
|
Hogs, but ineligible |
1.0 |
(20+26) 46 |
|
Complete & consent |
20.0 |
(300+650) 950 |
|
Complete & no consent |
31.5 |
(800+650) 1,450 |
|
Out of scope |
1.0 |
(20+26) 46 |
|
Refusal |
32.8 |
(600+910) 1,510) |
|
Total |
100.0 |
4,600 |
Phase II Large ops - VMO |
|
|
|
|
Complete |
70.0 |
665 |
|
Refusal |
30.0 |
285 |
|
Total |
100.0 |
950 |
|
Ineligible from Phase I |
|
|
Phase II Large ops – VMO Reflected “True Rates” |
|
|
|
|
Complete |
14.5 |
665 |
|
Refusal |
6.2 |
285 |
|
Subtotal |
20.7 |
950 |
|
Ineligible but had hogs |
1.0 |
46 |
|
Ineligible from Phase I – zero on hand |
13.0 |
598 |
|
Ineligible from Phase I – out of scope |
1.0 |
46 |
|
Refused consent from Phase I |
31.5 |
1,450 |
|
Refusal from Phase I |
32.8 |
1,510 |
|
Total |
100.0 |
4,600 |
|
|
|
|
|
|
|
|
|
|
|
|
Appendix F: Risk Factors associated with Classical Swine Fever (CSF) and Pseudorabies in Swine for Small Operations (< 100 pigs on-site)
Densities of pigs per pen.
Numbers of pig herds in a municipality.
Frequencies of the contact rate between swine herds.
Outside housing or access to the outside for pigs raised and integrity of fencing to prevent wild visitors.
Vaccination protocols.
Frequency of replacement animals (gilts and boars) used and quarantine methods used.
Pig flow management within farms.
Disease status and preventative disease measures in the herd.
Transport vehicle hygiene and non-farm personnel entry.
Reproductive management, primarily use of high health technologies to introduce new genetic stock (AI, MMEW, SEW, or Embryo Transfer).
Veterinary monitoring of herd health status.
Building biosecurity protocols.
Garbage feeding to swine.
Phase I: NASS enumerator portion |
||||
Variable |
Point estimate |
Standard Error |
CV |
Design effect |
Percent of operations that use local veterinary practitioners |
49.5 |
1.4 |
2.8 |
1.6 |
Percent of operations that regularly vaccinate hogs and pigs for porcine reproductive and respiratory syndrome (PRRS) |
19.2 |
1.1 |
5.7 |
1.9 |
Percent of breeding-age females that died between Dec.1, 2005 and May 31, 2006 (ratio estimate) |
4.3 |
0.3 |
7.0 |
1.1 |
Phase II: Veterinary medical officer visit |
||||
Percent of operations that were suspected to have PRRS cause sickness or mortality in one or more breeding females in the past 12 months |
27.3 |
4.3 |
15.8 |
2.2 |
Percent of operations that obtain replacement gilts from PRRS-negative source specifically to control or prevent PRRS in breeding females |
33.0 |
4.0 |
12.1 |
1.7 |
Percent of operations that in the last 12 months noticed Postweaning Mortality and Wasting Syndrome (PMWS aka PCVD) was present in one or more weaned pigs in the herd |
34.2 |
3.2 |
9.4 |
1.8 |
NASS enumerator portion |
||||
Variable |
Point estimate |
Standard Error |
Coefficient of variation |
Design effect |
Percentage of operations with sows and gilts for breeding on hand July 1, 2007 |
38.9 |
1.3 |
3.3 |
1.3 |
Percentage of all operations that had at least one farrowing from July 1, 2006,through June 30, 2007 |
34.0 |
1.3 |
3.8 |
1.3 |
Percentage of operations that were 5 or more miles the nearest known operation with pigs |
34.7 |
1.4 |
4.0 |
1.4 |
Percentage of operations that were visited by a local practitioner veterinarian at least once during the previous 12 months |
29.0 |
1.3 |
4.5 |
1.4 |
1 Illinois, Indiana, Iowa, Kansas, Minnesota, Missouri, Nebraska, North Carolina, Ohio, Oklahoma, Pennsylvania, South Dakota and Texas.
2 AL, AZ, AR, CA, CO, FL, GA, HI, IL, IN, IA, KS, LA, MI, MN, MS, MO, NE, NJ, NM, NY, NC, OH, OK, PA, SC, SD, TN, TX, WA, and WI.
File Type | application/msword |
Author | Government User |
Last Modified By | cbsickles |
File Modified | 2011-10-31 |
File Created | 2011-10-13 |