Supporting Statement B for
Paperwork Reduction Act Submission
Migratory Bird Surveys, 50 CFR 20.20
OMB Control Number 1018-0023
Migratory Bird Harvest Information Program and Migratory Bird Hunter Survey: The potential respondent universe is all licensed migratory bird hunters in the 49 States that have migratory bird hunting seasons, approximately 3,500,000 individuals. The universe is stratified by: (1) State, and (2) hunters' hunting activity and success the previous season. A systematic sample is selected within each stratum from the names and addresses in the order in which they are received. Stratum-specific universe and sampling data for forms 3-2056J, 3-2056K, 3-2056L, 3-2056M and 3-2056N are given in Tables 1-4. Sampling rates vary by State, form, and success strata, and range from <1% to 100%. Because sampling rates vary by State, form, and success strata, weighted and unweighted response rates were calculated to each survey form for 2017. Unweighted and weighted response rates for all six form types average 38% and 39% nationally, respectively. Response rates for the 5 HIP survey forms in 2021 were as follows:
Unweighted Weighted
Survey form Response Rate Response
Waterfowl (3-2056J) 0.36 0.38
Dove (3-2056K) 0.40 0.41
Woodcock (3-2056L) 0.42 0.46
Snipe/Coot/Rail/Gallinule (3-2056M) 0.41 0.43
Sandhill Cranes (3-2056N) 0.45 0.47
About 6% of the non-response rate is due to undeliverable mail.
Parts Collection Survey: Approximately 75,000 duck wings and 14,000 goose tails are collected and examined by biologists out of a universe of 9,500,000 ducks and 2,600,000 geese harvested. These parts are obtained from approximately 4,300 successful waterfowl hunters who return form 3-165 out of a universe of 991,200 active waterfowl hunters. Sample sizes for waterfowl are given in Table 5.
The sample of hunters who will be sent form 3-165E consists of approximately 650 successful mourning dove hunters from a sample universe of about 642,800 active dove hunters. We solicit wings from the first week of the hunting season only. We collect and examine about 9,200 wings from the first week of the hunting season out of a universe of about 9,202,100 birds that are harvested during the first week of the mourning dove hunting season. Sampling rates vary by state, and range from 18% to 80% of successful mourning dove hunters responding to Form 3-2056K in the previous year. Less than 1% of the harvest during the first week is sampled. Sample sizes for mourning doves are listed in Table 6.
The sample of hunters who are sent form 3-165C consists of approximately 800 successful hunters from a sample universe of approximately 119,000 active woodcock (≈95,000 hunters), rail (≈13,000 hunters), gallinule (≈8,000 hunters), and band-tailed pigeon hunters (≈3,000 hunters). We no longer request snipe wings from hunters because the number of wings received in the past has been low, and this information has not been used in any decision making in harvest management. We continue to monitor the harvest of snipe through our hunter diary survey. Approximately 8,400 wings are collected and examined out of a universe of approximately 252,000 birds harvested. The percent of harvest sampled ranges from <1% -4% for the species or species groups, with the highest sampling rate applied to woodcock harvest. Sample sizes for woodcock, rail species, and band-tailed pigeons are listed in Table 7.
Sandhill Crane Harvest Survey: The universe for sampling is approximately 49,000 individuals who obtain an annual permit to hunt sandhill cranes. Sampling rates are set by State, with 20% of the permittees randomly selected to receive questionnaires in Texas and North Dakota, 10% in Alaska and South Dakota, 50% of the permittees selected in Minnesota and Oklahoma, 60% of the permittees selected in Kansas, and 100% of the permittees contacted in all other States with a sandhill crane season. Pertinent sampling characteristics by State are listed in Table 8. In 2019, the unweighted response rate for the crane survey was 44%, and the weighted response rate was 39%.
Statistical methodology for stratification and sample selection,
Estimation procedure,
Degree of accuracy needed for the purpose described in the justification,
Unusual problems requiring specialized sampling procedures, and
Any use of periodic (less frequent than annual) data collection cycles to reduce burden.
Migratory Bird Harvest Information Program: Each State requires all migratory bird hunters to identify themselves as such, and to provide their name, address, and date of birth, as a condition for obtaining authorization to hunt migratory game birds in the State. All of the name, address, and date of birth information collection is done by the State’s hunting license vendors (agents) or by a State contractor. State license agents or contractors ask each migratory game bird hunter to answer a series of questions that allows us to stratify our sampling procedure. Each State collects the information in a way that is most appropriate for that state, but all states ask some variation of the following questions:
Will you hunt migratory birds this year?
How many ducks did you bag last year?
How many geese did you bag last year?
How many doves did you bag last year?
How many woodcock did you bag last year?
Did you hunt coots or snipe last year?
Did you hunt rails or gallinules last year?
Will you hunt sandhill cranes this year?
Will you hunt band-tailed pigeons this year?
Will you hunt brant this year?
Will you hunt sea ducks this year?
States are responsible for development of adequate control procedures to ensure that agents (1) account for all validated licenses; (2) promptly provide the State with names, addresses, and other information; (3) have a low proportion of incomplete or illegible information; and (4) return information from all migratory game bird hunters. We conducted a study in 2010 to track the collection and receipt of HIP name and address data from each state. Results from the 29 states participating showed that most MBHIP data are being sent to the FWS and being processed properly by the FWS (Appendix A).
Migratory Bird Hunter Survey Procedures: Survey procedures are based on Dillman's Total Design Method (Dillman, 1978, Mail and Telephone Surveys, the Total Design Method, Wiley). This method has been shown to substantially reduce non-response in many situations.
a. States provide the Service with migratory game bird hunters' names, addresses, birth dates, and their answers to the above questions in an acceptable form (electronic data or machine-scannable paper form). We receive the first list of hunter names and address in August prior to the migratory bird hunting seasons in each state. The States then send the Service updated lists every 2 weeks until the end of the migratory bird hunting seasons within each respective state. This information is needed in timely fashion for the Service to contact survey participants and ask them to keep records of their migratory game bird hunting throughout the hunting season. This also allows the Service to get survey forms to selected hunters before the hunting season starts or shortly after the hunter purchased his or her hunting license.
b. To protect hunters' privacy, it is the policy of the Service to use the names and addresses only for conducting hunter surveys and for no other purpose. All records of hunters' names and addresses are deleted after each year's survey results are finalized and no permanent record of names and addresses is maintained by the Service.
c. We use the answers to these questions to assign each hunter to one of three activity strata for duck, goose, dove, and woodcock hunting; and one of 2 hunting activity strata for coots and snipe, rails and gallinules, band-tailed pigeons, brant, and sea duck hunting. The 3 hunting activity strata for hunters of duck, goose, and dove hunters are (1) no harvest; (2) low harvest; and (3) high harvest. Low harvest of ducks and geese is defined as harvest of 1-10 birds the previous year; low harvest of doves is defined as harvest of 1-30 birds the previous year. The 2 hunting activity strata for hunters of woodcock, coots or snipe, rails or gallinules, band-tailed pigeons, brant, sea ducks are: (1) will (did) hunt or (2) will (did) not hunt.
d. The Service selects samples of hunters for receipt of one of four Migratory Bird Harvest Survey forms: waterfowl (duck, goose, sea duck, and brant; form 3-2056J), dove and band-tailed pigeon (form 3-2056K), woodcock (form 3-2056L), and snipe, rail, gallinule, and coot (form 3-2056M). Similar species are grouped together on the same form to control survey costs. Higher sampling rates are needed for successful hunters and for those who hunt less-frequently hunted species. Hunters are not asked to participate in more than one survey per State per year to minimize the burden on individual respondents.
e. Samples are stratified by survey form, state, and hunting activity. Stratification by state is relevant because: (1) hunters must register for the Migratory Bird Harvest Information Program in each state in which he/she hunts; (2) harvest regulations and species distributions vary by state; (3) response rates vary by state. Theoretically, there could be up to (3)(3)(3)(2)(2)(2)(2)(2)(2) = 1,728 activity strata in each State, defined by (number of duck hunting activity strata) X (number of goose hunting activity strata) X (number of dove hunting activity strata) X (number of woodcock hunting activity strata) X (number of coots/snipe success strata) X (number of rail/gallinule success strata) X (number of band-tailed pigeon success strata) X (number of sea duck hunting success strata) X (number of brant hunting success strata). However, individual States do not allow hunting of all the species listed; therefore most States have fewer strata. For example only 40 states have mourning dove seasons, only 36 states have woodcock seasons, and only 7 states have band-tailed pigeon seasons. We also consider the stratification of each species/species group independently. Thus, there are a total of 705 strata in the 49 states, with the number of activity strata in individual states ranging from 10 to 17.
f. Samples are selected as the names are received so that migratory bird hunters can be contacted and asked to keep records as soon as possible after the hunting season starts. The first, eligible hunter in a file is selected, and then every nth hunter in each stratum is selected thereafter, with (potentially) different sampling rates for each stratum. Sampling without replacement is used, with high priority strata being sampled before lower priority strata. Stratum priority is determined by: (1) biological need, and (2) desired precision levels for the estimates.
g. Double sampling estimates (Hansen and Hurwitz, 1958, JASA) are used to account for non-response (see Groves, 1989, Survey Errors and Survey Costs, Wiley, pages 165-169; and Hansen, Hurwitz and Madow, 1953 Sample Survey Methods and Theory, Wiley, vol. 1, pages 468-475). Two response strata are defined by the respondents and non-respondents to the first wave of reminder letters. A second wave of reminders and survey replacement forms is sent to all non-respondents to the first wave of reminder letters. Additionally, a third wave of reminder letters and survey replacement forms is sent to all non-respondents to the second wave of reminder letters.
For each species (e.g., mourning dove) or species-group (e.g., geese), the number of active hunters, number of hunting days, and number of birds harvested are estimated from the questionnaire responses using a ratio estimator with the harvest per hunter and the number of migratory bird hunters reported, by stratum, by State. Species-, age- and sex-specific harvests are estimated using ratios estimated from the Parts Collection Survey.
Target 95% confidence intervals for harvest estimates at the management unit level (e.g., Flyway) are as follows: ducks, ± 5%; geese, ± 5%; mourning doves, ± 5%; brant, woodcock, band-tailed pigeons, and white-winged doves, ± 10%; sea ducks, ± 25%; snipe, rails, gallinules, and coots, ± 50%. These target precision levels were deemed appropriate by the Federal and State biologists who are charged with managing those migratory bird species.
Surveys must be conducted annually because migratory bird harvests can change substantially between years depending on the size of the fall flight and hunting pressure. Estimates are required for annually promulgating hunting regulations.
Parts Collection Survey Procedures: Samples of successful hunters from the previous year’s Migratory Bird Hunter Survey are asked to complete and return a postcard (forms 3-165A, C, and E), volunteering to contribute wings and tails during the following hunting season. The samples are randomly selected in proportion to the estimated harvest in each State, and sampling rates vary from 30 to 100% of successful hunters. In addition, in some years due to the small number of successful waterfowl hunters in some states, we sample an additional amount from the list of hunters who were not sampled for the diary survey the previous year in order to reach our target number of parts. Because it is difficult to find enough hunters to participate in the Parts Collection Survey each year, hunters can remain in the survey for 3 (waterfowl)-10 (all others) years. Those who volunteer are sent a cover letter with instructions and a supply of pre-addressed, postage-paid return envelopes (forms 3-165, 3-165B, and 3-165E) for mailing in the wings and tails. Inner envelopes to protect other mail from stains and seepage are enclosed with the instructions and return envelopes. These packages are sent to survey volunteers before the hunting season opens in their state. Throughout the hunting season, survey participants mail in parts to four collection points (one in each flyway), where they are stored until they are examined. At the end of the hunting season, biologists examine each part to determine species, age, and sex composition of the sample; hunters cannot reliably determine this information. After those data have been compiled, respondents are sent a personalized thank you letter detailing the species, age, and sex of each bird from which they contributed a wing or a tail. The proportions of species, age, and sex in the Parts Collection Survey are then applied to the total harvest estimates from the Migratory Bird Hunter Survey, to allocate harvest estimates among groups. The allocation is proportional to the state, because of different hunting regulations in states and different sampling rates.
Sandhill Crane Harvest Survey: Sampling is stratified according to State of permit issuance; sampling rates vary from 20% in States with many crane permittees (e.g., Texas) to 100% in States with few crane permittees (e.g., Wyoming). No specialized sampling procedures are required, and we use the standard estimation methods for stratified random samples. Stratum-specific (State-specific) estimates of the proportion of permittees that actually hunted cranes, the mean number of days hunted, and the mean number of cranes harvested are derived from the responses. Those estimates are expanded by N (number of permits issued) for each State to obtain State totals, which are then combined to provide estimates of the number of active crane hunters, days of hunting, and cranes harvested for all mid-continent sandhill crane hunting in the U.S. The 95% confidence interval for the annual harvest estimate is about +5%, which is a precision level that is adequate to ensure responsible harvest management (i.e., hunting regulations) decisions.
Response to the Migratory Bird Harvest Information Program is mandatory. We monitor participation by reviewing trends in data transmission from each state, for which we have direct information from 1999-present and indirect information from 1961-present. We also spot-check compliance by following the registrations of individual hunters (Appx. A). We use standard methods to encourage response to the Migratory Bird Harvest Survey, Parts Collection Survey, and Sandhill Crane Survey. These include a cover letter that is addressed to the individual hunter and signed by the Chief of the Division of Migratory Bird Management or the Chief of the Branch of Monitoring and Information Management. The letter explains why the information is important and includes a toll-free number to call and ask questions. The cover letters attempt to motivate the respondent and stress the importance of participation. Forms are sent as early in the hunting season as possible, to encourage participation. The online forms are dynamic, with one question asked at a time, and have been designed to be as attractive and as easy to use as possible. The online survey also allows hunters to add comments about their hunts, and they can download their hunt log at the end of the season with comments as a pdf or spreadsheet file. The Migratory Bird Hunter Survey and Sandhill Crane Survey requests daily diary records, to minimize response bias. The forms also includes space to record season totals, for hunters who do not wish to record daily hunting activity. The Migratory Bird Hunter Survey uses four email invitations, one every 6 days, followed by one paper invitation to contact non-respondents; for hunters who have not submitted email addresses, we send three waves of paper invitations, one every 2 weeks,,to contact non-respondents and encourage participation. Once hunters have registered for the survey online, they receive up to 3 end-of-hunting-season reminders by email to encourage submission of hunting data. The Sandhill Crane Survey also uses the same schedule of invitations, but without end of season reminders because most sample frame information are not available after the end of the season, when invitations are sent. The Parts Collection Survey maximizes response rates by using forms 3-165A, C, and D to solicit volunteer participants from a randomly selected sample of successful hunters. Solicitation forms are mailed out well in advance of the opening of the hunting season, so that survey envelopes can be mailed to them before the start of the hunting season. In these solicitation forms, we tell hunters that we will send a report that contains all of the biological data on the specimens they send in each year, as incentive to participate in the survey for the duration of the hunting season. This report is sent in June of each year. As described in item B. 2.g. above, double sampling estimates are used to detect and, if necessary, account for non-response.
Investigations of non-response bias and attempts to increase response rates. As requested by OMB in 2004 we conducted several investigations of non-response bias in our surveys. Based on these analyses, we do not believe that the following aspects of our surveys impart significant bias that requires adjustment via weighting:
(1) non-response bias and Parts Collection Survey – waterfowl;
(2) response wave bias and Migratory Bird Harvest Survey;
(3) non-response bias and Sandhill Crane Harvest Survey.
Summaries of those investigations were included with previous Information Collection Request packets and can be provided upon request.
We conducted a 3-year test of the waterfowl and dove online surveys from 2019—2021 alongside a full paper harvest survey, in order to evaluate response rates, non-response bias, and harvest estimates from the two platforms. Analysis of these data have not yet been completed, and will be included in the next Information Collection Request.
The individual directly responsible for information collection and analysis is: Dr. Kathleen Fleming, Chief, Branch of Monitoring and Information Management, Division of Migratory Bird Management, Laurel, MD 20708-4028, phone: (301) 497-5902.
The following statisticians have reviewed the statistical design and analysis of these surveys:
Dr. Christine M. Bunck, Deputy Center Director, USGS National Wildlife Health Center, Madison, WI 53711 (608-270-2407)
Mr. Grey W. Pendleton, Statistician (Biology), Alaska Department of Fish and Game, Douglas, AK 99824 (907-465-4353)
Dr. Robert E. Trost, Division of Migratory Bird Management, U.S. Fish and Wildlife Service, 911 N.E. 11th Avenue, Portland, OR 97232-4181 (503-231-6162)
Dr. Paul H. Geissler, Biometrician, National Ecological Surveys Team, USGS Fort Collins Science Center, Fort Collins, CO 80526 (970-226-9482)
Table 1. Potential respondent universe (N) and number of waterfowl hunters sampled (n) by stratum for Form 3-2056J, based on 2015 counts. Each hunter is assigned a duck, sea duck, goose, and brant stratum |
||||||||||||||||||||||||||
Duck hunters in stratum (N) and sample (n) |
|
Seaduck
hunters in stratum (N) |
|
Goose hunters in stratum (N) and sample (n) |
|
Brant
hunters in stratum (N) |
||||||||||||||||||||
state |
Bagged none |
Bagged 1-10 |
Bagged > 10 |
|
state |
Do not hunt |
Do hunt |
|
state |
Bagged none |
Bagged 1-10 |
Bagged > 10 |
|
state |
Do not hunt |
Do hunt |
||||||||||
|
N |
n |
N |
n |
N |
n |
|
|
N |
n |
N |
n |
|
|
N |
n |
N |
n |
N |
n |
|
|
N |
n |
N |
n |
AK |
5490 |
181 |
1308 |
74 |
922 |
76 |
|
AK |
7179 |
267 |
541 |
64 |
|
AK |
6631 |
239 |
831 |
59 |
258 |
33 |
|
AK |
5943 |
152 |
1777 |
179 |
AL |
120355 |
5473 |
6520 |
760 |
5957 |
1381 |
|
AL |
0 |
0 |
0 |
0 |
|
AL |
128899 |
6568 |
2388 |
516 |
1545 |
530 |
|
AL |
0 |
0 |
0 |
0 |
AR |
75671 |
1576 |
17574 |
1266 |
28888 |
4059 |
|
AR |
0 |
0 |
0 |
0 |
|
AR |
98247 |
3668 |
12601 |
1302 |
11285 |
1931 |
|
AR |
0 |
0 |
0 |
0 |
AZ |
34093 |
10069 |
1386 |
782 |
892 |
891 |
|
AZ |
0 |
0 |
0 |
0 |
|
AZ |
35811 |
11270 |
418 |
332 |
142 |
140 |
|
AZ |
0 |
0 |
0 |
0 |
CA |
99820 |
2079 |
12529 |
1449 |
21594 |
2989 |
|
CA |
133552 |
6295 |
391 |
222 |
|
CA |
114273 |
3646 |
11825 |
1531 |
7845 |
1340 |
|
CA |
133367 |
6137 |
576 |
380 |
CO |
48703 |
1886 |
7011 |
806 |
4304 |
955 |
|
CO |
0 |
0 |
0 |
0 |
|
CO |
49481 |
2084 |
6801 |
720 |
3736 |
843 |
|
CO |
0 |
0 |
0 |
0 |
CT |
3018 |
501 |
1343 |
362 |
365 |
150 |
|
CT |
4726 |
1013 |
0 |
0 |
|
CT |
3392 |
592 |
1017 |
295 |
317 |
126 |
|
CT |
3392 |
1013 |
1334 |
0 |
DE |
4449 |
746 |
1839 |
588 |
1696 |
862 |
|
DE |
7328 |
1773 |
656 |
423 |
|
DE |
4570 |
792 |
2039 |
687 |
1375 |
717 |
|
DE |
6866 |
1663 |
1118 |
533 |
FL |
82125 |
2166 |
6455 |
869 |
6105 |
1751 |
|
FL |
0 |
0 |
0 |
0 |
|
FL |
94685 |
4786 |
0 |
0 |
0 |
0 |
|
FL |
0 |
0 |
0 |
0 |
GA |
140535 |
3162 |
15347 |
1823 |
6940 |
1506 |
|
GA |
0 |
0 |
0 |
0 |
|
GA |
162822 |
6491 |
11455 |
1179 |
11455 |
1179 |
|
GA |
0 |
0 |
0 |
0 |
IA |
65482 |
4998 |
6133 |
911 |
5991 |
1286 |
|
IA |
0 |
0 |
0 |
0 |
|
IA |
68388 |
5497 |
5910 |
945 |
3308 |
753 |
|
IA |
0 |
0 |
0 |
0 |
ID |
26097 |
735 |
4595 |
386 |
4690 |
776 |
|
ID |
0 |
0 |
0 |
0 |
|
ID |
30241 |
1168 |
3980 |
470 |
1161 |
259 |
|
ID |
0 |
0 |
0 |
0 |
IL |
59330 |
1206 |
12462 |
755 |
9876 |
980 |
|
IL |
0 |
0 |
0 |
0 |
|
IL |
63914 |
1489 |
12162 |
844 |
5592 |
608 |
|
IL |
0 |
0 |
0 |
0 |
IN |
9072 |
586 |
5635 |
665 |
3099 |
656 |
|
IN |
0 |
0 |
0 |
0 |
|
IN |
10668 |
833 |
5235 |
655 |
1903 |
419 |
|
IN |
0 |
0 |
0 |
0 |
KS |
43785 |
1451 |
6826 |
483 |
8695 |
986 |
|
KS |
0 |
0 |
0 |
0 |
|
KS |
46940 |
1670 |
6453 |
506 |
5913 |
744 |
|
KS |
0 |
0 |
0 |
0 |
KY |
20949 |
728 |
4478 |
1142 |
4442 |
2090 |
|
KY |
0 |
0 |
0 |
0 |
|
KY |
24547 |
1809 |
4238 |
1602 |
1084 |
549 |
|
KY |
0 |
0 |
0 |
0 |
LA |
130000 |
3077 |
13939 |
2026 |
18291 |
3391 |
|
LA |
0 |
0 |
0 |
0 |
|
LA |
152294 |
6404 |
6812 |
1245 |
3124 |
845 |
|
LA |
0 |
0 |
0 |
0 |
MA |
8308 |
995 |
2221 |
573 |
611 |
236 |
|
MA |
10201 |
1378 |
939 |
426 |
|
MA |
9182 |
1186 |
1580 |
484 |
378 |
134 |
|
MA |
10791 |
1583 |
349 |
221 |
MD |
27301 |
1914 |
11049 |
2260 |
6417 |
1695 |
|
MD |
33638 |
3425 |
11129 |
2444 |
|
MD |
23677 |
1852 |
13744 |
2388 |
7346 |
1629 |
|
MD |
41325 |
4939 |
3442 |
930 |
ME |
20085 |
1726 |
1449 |
596 |
488 |
277 |
|
ME |
18264 |
1040 |
3758 |
1559 |
|
ME |
21107 |
2099 |
762 |
394 |
153 |
106 |
|
ME |
0 |
0 |
0 |
0 |
MI |
124998 |
2306 |
17891 |
1099 |
12043 |
1272 |
|
MI |
0 |
|
0 |
0 |
|
MI |
131222 |
2833 |
16465 |
1068 |
7245 |
776 |
|
MI |
0 |
0 |
0 |
0 |
MN |
87871 |
1408 |
35065 |
1588 |
23635 |
1456 |
|
MN |
0 |
0 |
0 |
0 |
|
MN |
105872 |
2097 |
29532 |
1529 |
11167 |
826 |
|
MN |
0 |
0 |
0 |
0 |
MO |
51972 |
1687 |
8281 |
845 |
9999 |
1325 |
|
MO |
0 |
0 |
0 |
0 |
|
MO |
59827 |
2413 |
6111 |
731 |
4314 |
713 |
|
MO |
0 |
0 |
0 |
0 |
MS |
63491 |
1839 |
7562 |
1057 |
7523 |
1428 |
|
MS |
0 |
0 |
0 |
0 |
|
MS |
73615 |
3265 |
3632 |
718 |
1329 |
341 |
|
MS |
0 |
0 |
0 |
0 |
MT |
54140 |
1911 |
3846 |
664 |
2854 |
667 |
|
MT |
0 |
0 |
0 |
0 |
|
MT |
53339 |
1938 |
4899 |
746 |
2602 |
558 |
|
MT |
0 |
0 |
0 |
0 |
NC |
274252 |
3524 |
18600 |
1488 |
12473 |
1559 |
|
NC |
0 |
0 |
0 |
0 |
|
NC |
290881 |
4827 |
11270 |
1201 |
3174 |
543 |
|
NC |
239562 |
4917 |
65763 |
1654 |
ND |
35305 |
1281 |
14007 |
1802 |
16279 |
2505 |
|
ND |
0 |
0 |
0 |
0 |
|
ND |
42508 |
2287 |
15352 |
1935 |
7731 |
1366 |
|
ND |
0 |
0 |
0 |
0 |
NE |
15613 |
705 |
5438 |
741 |
4403 |
891 |
|
NE |
0 |
0 |
0 |
0 |
|
NE |
16640 |
973 |
5745 |
764 |
3069 |
600 |
|
NE |
0 |
0 |
0 |
0 |
NH |
5988 |
781 |
1566 |
569 |
395 |
281 |
|
NH |
7756 |
1480 |
193 |
151 |
|
NH |
6677 |
1015 |
1061 |
462 |
211 |
154 |
|
NH |
7916 |
1604 |
33 |
27 |
NJ |
6821 |
713 |
2755 |
545 |
1701 |
424 |
|
NJ |
10443 |
1393 |
834 |
289 |
|
NJ |
7871 |
905 |
2112 |
473 |
1294 |
304 |
|
NJ |
9238 |
1128 |
2039 |
554 |
NM |
25274 |
1756 |
1416 |
180 |
841 |
177 |
|
NM |
0 |
0 |
0 |
0 |
|
NM |
26700 |
1942 |
667 |
116 |
164 |
55 |
|
NM |
0 |
0 |
0 |
0 |
NV |
5989 |
505 |
1208 |
318 |
917 |
399 |
|
NV |
0 |
0 |
0 |
0 |
|
NV |
7135 |
799 |
779 |
330 |
200 |
93 |
|
NV |
0 |
0 |
0 |
0 |
NY |
23419 |
1604 |
9924 |
1377 |
5079 |
1163 |
|
NY |
32367 |
2665 |
6055 |
1479 |
|
NY |
25589 |
2123 |
8280 |
1055 |
4553 |
966 |
|
NY |
31909 |
2646 |
6513 |
1498 |
OH |
26459 |
641 |
7864 |
440 |
3035 |
307 |
|
OH |
0 |
0 |
0 |
0 |
|
OH |
27363 |
725 |
7708 |
433 |
2287 |
230 |
|
OH |
0 |
0 |
0 |
0 |
OK |
37044 |
2016 |
4228 |
567 |
6418 |
1460 |
|
OK |
0 |
0 |
0 |
0 |
|
OK |
42037 |
2737 |
3476 |
705 |
2177 |
601 |
|
OK |
0 |
0 |
0 |
0 |
OR |
28204 |
985 |
6139 |
626 |
8257 |
2389 |
|
OR |
42293 |
3693 |
307 |
307 |
|
OR |
33525 |
1880 |
5320 |
899 |
3755 |
1221 |
|
OR |
42481 |
3881 |
119 |
119 |
PA |
81738 |
2169 |
11669 |
1178 |
4945 |
831 |
|
PA |
0 |
0 |
0 |
0 |
|
PA |
82039 |
2401 |
11166 |
989 |
5147 |
788 |
|
PA |
0 |
0 |
0 |
0 |
RI |
1068 |
348 |
422 |
241 |
243 |
148 |
|
RI |
1224 |
407 |
509 |
330 |
|
RI |
1178 |
382 |
379 |
238 |
176 |
117 |
|
RI |
977 |
254 |
756 |
483 |
SC |
83854 |
1993 |
7082 |
1340 |
5758 |
1691 |
|
SC |
0 |
0 |
0 |
0 |
|
SC |
93844 |
3994 |
2353 |
715 |
497 |
315 |
|
SC |
0 |
0 |
0 |
0 |
SD |
33830 |
5985 |
86 |
20 |
74 |
24 |
|
SD |
0 |
0 |
0 |
0 |
|
SD |
33890 |
6005 |
91 |
20 |
9 |
4 |
|
SD |
0 |
0 |
0 |
0 |
TN |
56374 |
571 |
5492 |
281 |
6137 |
629 |
|
TN |
0 |
0 |
0 |
0 |
|
TN |
61986 |
838 |
3666 |
287 |
2352 |
356 |
|
TN |
0 |
0 |
0 |
0 |
TX |
700142 |
5370 |
28537 |
2703 |
32180 |
3962 |
|
TX |
0 |
0 |
0 |
0 |
|
TX |
745002 |
10076 |
10958 |
1206 |
4899 |
753 |
|
TX |
0 |
0 |
0 |
0 |
UT |
17316 |
827 |
6843 |
909 |
5270 |
1130 |
|
UT |
0 |
0 |
0 |
0 |
|
UT |
24900 |
1892 |
3701 |
737 |
828 |
237 |
|
UT |
0 |
0 |
0 |
0 |
VA |
32370 |
1904 |
6984 |
987 |
4032 |
932 |
|
VA |
41814 |
3297 |
1572 |
526 |
|
VA |
35084 |
2213 |
6110 |
1038 |
2192 |
572 |
|
VA |
41574 |
3343 |
1812 |
480 |
VT |
5633 |
683 |
1489 |
444 |
710 |
306 |
|
VT |
0 |
0 |
0 |
0 |
|
VT |
6274 |
848 |
1187 |
421 |
371 |
164 |
|
VT |
0 |
0 |
0 |
0 |
WA |
24769 |
2357 |
7424 |
1686 |
9878 |
3386 |
|
WA |
41841 |
7273 |
230 |
156 |
|
WA |
32399 |
4463 |
6657 |
1915 |
3015 |
1051 |
|
WA |
41147 |
7004 |
924 |
425 |
WI |
92336 |
1985 |
28512 |
1809 |
14793 |
1575 |
|
WI |
0 |
0 |
0 |
0 |
|
WI |
113367 |
3446 |
19072 |
1528 |
3202 |
395 |
|
WI |
0 |
0 |
0 |
0 |
WV |
4310 |
1476 |
764 |
522 |
327 |
327 |
|
WV |
0 |
0 |
0 |
0 |
|
WV |
4507 |
1604 |
658 |
494 |
236 |
227 |
|
WV |
0 |
0 |
0 |
0 |
WY |
4981 |
732 |
1858 |
659 |
1021 |
583 |
|
WY |
0 |
0 |
0 |
0 |
|
WY |
5234 |
916 |
1897 |
681 |
729 |
377 |
|
WY |
0 |
0 |
0 |
0 |
Total |
3030229 |
95317 |
393051 |
45261 |
341483 |
60220 |
|
Total |
392626 |
35399 |
27114 |
8376 |
|
Total |
3340274 |
135980 |
300555 |
39588 |
146845 |
27588 |
|
Total |
616488 |
40264 |
86555 |
7483 |
Table 2. Potential respondent universe (N) and number of mourning dove and band-tailed pigeon hunters sampled (n) by stratum for Form 3-2056K, based on 2015 counts. |
|||||||||||||||
|
Mourning dove hunters in stratum (N) and sample (n) |
|
Band-tailed pigeon hunters in stratum (N) and sample (n) |
||||||||||||
|
Bagged none |
|
|
Bagged 1-10 |
|
|
Bagged >10 |
|
|
Do not hunt |
|
|
Do hunt |
|
|
State |
N |
n |
Sampling rate |
N |
n |
Sampling rate |
N |
n |
Sampling rate |
N |
n |
Sampling rate |
N |
n |
Sampling rate |
AL |
105461 |
5245 |
0.049734025 |
20522 |
1301 |
0.063395381 |
6849 |
1068 |
0.155935173 |
0 |
0 |
|
0 |
0 |
|
AR |
94883 |
3776 |
0.039796381 |
17663 |
1592 |
0.090131914 |
9587 |
1533 |
0.159904037 |
0 |
0 |
|
0 |
0 |
|
AZ |
20146 |
6592 |
0.327211357 |
12815 |
3796 |
0.296215373 |
3410 |
1354 |
0.397067449 |
29632 |
8104 |
0.273488121 |
6739 |
3638 |
0.539842707 |
CA |
94576 |
3373 |
0.035664439 |
30471 |
1997 |
0.065537724 |
8896 |
1147 |
0.128934353 |
132078 |
5887 |
0.044572147 |
1865 |
630 |
0.337801609 |
CO |
47252 |
1873 |
0.039638534 |
6654 |
625 |
0.093928464 |
6112 |
1149 |
0.187990838 |
59019 |
3325 |
0.05633779 |
999 |
322 |
0.322322322 |
DE |
5834 |
1270 |
0.217689407 |
1573 |
602 |
0.382708201 |
577 |
324 |
0.56152513 |
|
0 |
|
0 |
0 |
|
FL |
81581 |
3053 |
0.037422929 |
10293 |
1102 |
0.107063053 |
2811 |
631 |
0.224475276 |
0 |
0 |
|
0 |
0 |
|
GA |
116708 |
3037 |
0.026022209 |
37327 |
2318 |
0.062099821 |
8787 |
1136 |
0.129281894 |
0 |
0 |
|
0 |
0 |
|
IA |
69672 |
5582 |
0.080118268 |
6395 |
1145 |
0.17904613 |
1539 |
468 |
0.304093567 |
0 |
0 |
|
0 |
0 |
|
ID |
30286 |
1138 |
0.037575117 |
4480 |
583 |
0.130133929 |
616 |
176 |
0.285714286 |
0 |
0 |
|
0 |
0 |
|
IL |
64241 |
1810 |
0.028175153 |
14704 |
836 |
0.056855277 |
2723 |
295 |
0.108336394 |
0 |
0 |
|
0 |
0 |
|
IN |
10489 |
857 |
0.081704643 |
6025 |
732 |
0.121493776 |
1292 |
275 |
0.212848297 |
0 |
0 |
|
0 |
0 |
|
KS |
35916 |
1219 |
0.033940305 |
15211 |
893 |
0.058707514 |
8179 |
808 |
0.098789583 |
0 |
0 |
|
0 |
0 |
|
KY |
13484 |
1053 |
0.078092554 |
12051 |
1813 |
0.150443947 |
4334 |
1094 |
0.252422704 |
0 |
0 |
|
0 |
0 |
|
LA |
143886 |
5406 |
0.037571411 |
14405 |
2224 |
0.154390837 |
3939 |
864 |
0.219345011 |
0 |
0 |
|
0 |
0 |
|
MD |
36202 |
3810 |
0.105242804 |
7663 |
1748 |
0.228109096 |
902 |
311 |
0.344789357 |
0 |
0 |
|
0 |
0 |
|
MN |
136636 |
3314 |
0.024254223 |
6196 |
577 |
0.093124597 |
3739 |
561 |
0.150040118 |
0 |
0 |
|
0 |
0 |
|
MO |
55152 |
2047 |
0.037115608 |
11149 |
1236 |
0.110861961 |
3951 |
574 |
0.145279676 |
0 |
0 |
|
0 |
0 |
|
MS |
61013 |
2288 |
0.037500205 |
13250 |
1285 |
0.096981132 |
4313 |
751 |
0.174124739 |
0 |
0 |
|
0 |
0 |
|
MT |
59954 |
2912 |
0.048570571 |
727 |
243 |
0.334250344 |
159 |
87 |
0.547169811 |
0 |
0 |
|
0 |
0 |
|
NC |
253741 |
3349 |
0.013198498 |
45406 |
2543 |
0.056005814 |
6178 |
679 |
0.109906118 |
0 |
0 |
|
0 |
0 |
|
ND |
58566 |
4094 |
0.06990404 |
5552 |
1039 |
0.187139769 |
1473 |
455 |
0.308893415 |
0 |
0 |
|
0 |
0 |
|
NE |
16159 |
1017 |
0.062937063 |
7306 |
956 |
0.130851355 |
1989 |
364 |
0.183006536 |
0 |
0 |
|
0 |
0 |
|
NM |
21143 |
1210 |
0.057229343 |
4801 |
541 |
0.112684857 |
1587 |
362 |
0.22810334 |
23867 |
861 |
0.036074915 |
3664 |
1252 |
0.341703057 |
NV |
5972 |
636 |
0.106496986 |
1900 |
433 |
0.227894737 |
242 |
153 |
0.632231405 |
0 |
0 |
|
0 |
0 |
|
OH |
26867 |
766 |
0.028510813 |
8938 |
431 |
0.048221079 |
1553 |
190 |
0.122343851 |
0 |
0 |
|
0 |
0 |
|
OK |
33919 |
2100 |
0.061912203 |
10079 |
1174 |
0.11647981 |
3692 |
769 |
0.208288191 |
0 |
0 |
|
0 |
0 |
|
OR |
37973 |
2891 |
0.076133042 |
3502 |
687 |
0.196173615 |
1125 |
422 |
0.375111111 |
42091 |
3811 |
0.090541921 |
509 |
189 |
0.371316306 |
PA |
80814 |
2507 |
0.031021853 |
15248 |
1277 |
0.083748688 |
2290 |
394 |
0.172052402 |
0 |
0 |
|
0 |
0 |
|
RI |
1542 |
596 |
0.386511025 |
175 |
127 |
0.725714286 |
16 |
14 |
0.875 |
0 |
0 |
|
0 |
0 |
|
SC |
78941 |
2415 |
0.030592468 |
13589 |
1707 |
0.125616307 |
4164 |
902 |
0.216618636 |
0 |
0 |
|
0 |
0 |
|
SD |
33986 |
6027 |
0.177337727 |
4 |
2 |
0.5 |
0 |
0 |
|
0 |
0 |
|
0 |
0 |
|
TN |
52909 |
540 |
0.010206203 |
9735 |
429 |
0.044067797 |
5361 |
512 |
0.09550457 |
0 |
0 |
|
0 |
0 |
|
TX |
537863 |
3753 |
0.006977613 |
138736 |
3989 |
0.028752451 |
84260 |
4293 |
0.050949442 |
0 |
0 |
|
0 |
0 |
|
UT |
24759 |
1966 |
0.079405469 |
4202 |
756 |
0.179914327 |
468 |
144 |
0.307692308 |
28178 |
2592 |
0.091986656 |
1251 |
274 |
0.21902478 |
VA |
28852 |
1805 |
0.062560654 |
9172 |
998 |
0.10880942 |
5362 |
1020 |
0.190227527 |
0 |
0 |
|
0 |
0 |
|
WA |
39108 |
6123 |
0.156566431 |
2746 |
1111 |
0.404588492 |
217 |
77 |
0.35483871 |
0 |
0 |
|
0 |
0 |
|
WI |
127354 |
4392 |
0.034486549 |
7598 |
851 |
0.112003159 |
689 |
126 |
0.18287373 |
41865 |
7292 |
0.174178908 |
206 |
137 |
0.665048544 |
WV |
4128 |
1539 |
0.372819767 |
1273 |
786 |
0.61743912 |
0 |
0 |
|
0 |
0 |
|
0 |
0 |
|
WY |
6556 |
1420 |
0.216595485 |
1102 |
420 |
0.381125227 |
202 |
134 |
0.663366337 |
0 |
0 |
|
0 |
0 |
|
Total |
2754524 |
108801 |
0.086111084 |
540638 |
46905 |
0.181567719 |
203583 |
25616 |
0.264870403 |
356730 |
31872 |
0.109597208 |
15233 |
6442 |
0.399579904 |
Table 3. Potential respondent universe (N) and number of woodcock hunters (n) sampled by stratum, for Form 3-2056L, based on 2015 counts. |
|||||
|
Woodcock hunters in stratum (N) and sample (n) |
||||
|
Do not hunt |
|
Do hunt |
||
State |
N |
n |
|
N |
n |
AL |
132,178 |
7,278 |
|
654 |
336 |
AR |
116,912 |
5,983 |
|
5,221 |
918 |
CT |
4,245 |
797 |
|
481 |
216 |
DE |
7,859 |
2,110 |
|
125 |
78 |
FL |
93,384 |
4,474 |
|
1,301 |
312 |
GA |
160,132 |
5,970 |
|
2,690 |
521 |
IA |
74,289 |
5,249 |
|
3,317 |
1,946 |
IL |
80,433 |
2,711 |
|
1,235 |
230 |
IN |
17,577 |
1,776 |
|
229 |
131 |
KS |
59,028 |
2,715 |
|
278 |
205 |
KY |
29,517 |
3,794 |
|
352 |
166 |
LA |
158,711 |
7,681 |
|
3,519 |
813 |
MA |
10,375 |
1,489 |
|
765 |
315 |
MD |
43,960 |
5,368 |
|
807 |
501 |
ME |
21,102 |
2,015 |
|
920 |
584 |
MI |
142,920 |
3,814 |
|
12,012 |
863 |
MN |
138,207 |
3,514 |
|
8,364 |
938 |
MO |
69,409 |
3,500 |
|
843 |
357 |
MS |
77,454 |
3,921 |
|
1,122 |
403 |
NC |
300,477 |
6,056 |
|
4,848 |
515 |
NE |
25,451 |
2,336 |
|
3 |
1 |
NH |
6,668 |
1,174 |
|
1,281 |
457 |
NJ |
10,664 |
1,382 |
|
613 |
300 |
NY |
36,907 |
3,557 |
|
1,515 |
587 |
OH |
36,792 |
1,308 |
|
566 |
80 |
OK |
47,595 |
3,986 |
|
95 |
57 |
PA |
94,404 |
3,532 |
|
3,948 |
646 |
RI |
1,639 |
663 |
|
94 |
74 |
SC |
0 |
4,725 |
|
0 |
299 |
SD |
96,110 |
6,029 |
|
584 |
0 |
TN |
66,272 |
1,209 |
|
1,732 |
272 |
TX |
760,580 |
11,970 |
|
279 |
65 |
VA |
42,731 |
3,508 |
|
655 |
315 |
VT |
7,233 |
1,218 |
|
599 |
215 |
WI |
127,391 |
4,465 |
|
8,250 |
904 |
WV |
5,174 |
2,099 |
|
227 |
226 |
Total |
3,103,780 |
133,376 |
|
69,524 |
14,846 |
Table 4. Potential respondent universe (N) and number of snipe/coot and rail/gallinule hunters sampled (n) by stratum for Form 3-2056M, based on 2015 counts. Each hunter is assigned to both a coot/snipe and rail/gallinule stratum. |
|||||||||||
|
Coot/snipe hunters in stratum (N) and sample (n) |
|
Rail/gallinule hunters in stratum (N) and sample (n) |
||||||||
|
Do not hunt |
|
Do hunt |
|
Do not hunt |
|
Do hunt |
||||
State |
N |
n |
|
N |
n |
|
N |
n |
|
N |
n |
AK |
7517 |
308 |
|
203 |
23 |
|
0 |
0 |
|
0 |
0 |
AL |
131945 |
7314 |
|
887 |
300 |
|
132447 |
264 |
|
385 |
59 |
AR |
117773 |
6516 |
|
4360 |
385 |
|
119492 |
124 |
|
2641 |
31 |
AZ |
35314 |
11252 |
|
1057 |
489 |
|
35668 |
480 |
|
703 |
35 |
CA |
131674 |
5863 |
|
2269 |
654 |
|
133403 |
270 |
|
540 |
105 |
CO |
58009 |
3376 |
|
2009 |
271 |
|
59706 |
199 |
|
312 |
11 |
CT |
4703 |
994 |
|
23 |
19 |
|
4678 |
101 |
|
48 |
27 |
DE |
7789 |
2073 |
|
195 |
123 |
|
7910 |
128 |
|
74 |
23 |
FL |
89784 |
3908 |
|
4901 |
878 |
|
93232 |
191 |
|
1453 |
63 |
GA |
159789 |
5934 |
|
3033 |
557 |
|
160882 |
147 |
|
1940 |
177 |
IA |
74120 |
5180 |
|
3486 |
2015 |
|
74418 |
191 |
|
3188 |
800 |
ID |
35230 |
1870 |
|
152 |
27 |
|
35382 |
73 |
|
0 |
0 |
IL |
80761 |
2870 |
|
907 |
71 |
|
81363 |
82 |
|
305 |
16 |
IN |
17375 |
1645 |
|
431 |
262 |
|
17692 |
38 |
|
114 |
58 |
KS |
59053 |
2728 |
|
253 |
192 |
|
59087 |
150 |
|
219 |
109 |
KY |
29204 |
3725 |
|
665 |
235 |
|
29811 |
31 |
|
58 |
8 |
LA |
156962 |
7340 |
|
5268 |
1154 |
|
158753 |
399 |
|
3477 |
92 |
MA |
10908 |
1629 |
|
232 |
175 |
|
11021 |
218 |
|
119 |
45 |
MD |
43646 |
5430 |
|
1121 |
439 |
|
43832 |
88 |
|
935 |
169 |
ME |
18399 |
1103 |
|
3623 |
1496 |
|
18392 |
42 |
|
3630 |
148 |
MI |
152826 |
4518 |
|
2106 |
159 |
|
152826 |
156 |
|
2106 |
26 |
MN |
137257 |
3966 |
|
9314 |
486 |
|
138577 |
141 |
|
7994 |
163 |
MO |
68804 |
3687 |
|
1448 |
170 |
|
69591 |
137 |
|
661 |
13 |
MS |
64325 |
2750 |
|
14251 |
1574 |
|
64142 |
135 |
|
14434 |
37 |
MT |
60149 |
3035 |
|
691 |
207 |
|
60840 |
124 |
|
0 |
0 |
NC |
259207 |
5263 |
|
46118 |
1308 |
|
261810 |
193 |
|
43515 |
140 |
ND |
64581 |
5013 |
|
1010 |
575 |
|
0 |
0 |
|
0 |
0 |
NE |
24526 |
2210 |
|
928 |
127 |
|
24799 |
64 |
|
655 |
16 |
NH |
7879 |
1585 |
|
70 |
46 |
|
0 |
0 |
|
0 |
0 |
NJ |
11009 |
1551 |
|
268 |
131 |
|
11016 |
142 |
|
261 |
76 |
NM |
26074 |
1631 |
|
1457 |
482 |
|
26200 |
34 |
|
1331 |
216 |
NV |
7863 |
1043 |
|
251 |
179 |
|
8014 |
85 |
|
100 |
53 |
NY |
34533 |
3056 |
|
3889 |
1088 |
|
34839 |
139 |
|
3583 |
201 |
OH |
36368 |
1304 |
|
990 |
84 |
|
37011 |
43 |
|
347 |
13 |
OK |
47414 |
3920 |
|
276 |
123 |
|
47623 |
101 |
|
67 |
19 |
OR |
39482 |
3324 |
|
3118 |
676 |
|
0 |
0 |
|
0 |
0 |
PA |
96457 |
3880 |
|
1895 |
298 |
|
96990 |
102 |
|
1362 |
33 |
RI |
1507 |
583 |
|
226 |
154 |
|
1528 |
36 |
|
205 |
23 |
SC |
96055 |
4741 |
|
639 |
283 |
|
96172 |
248 |
|
522 |
70 |
SD |
33987 |
6026 |
|
3 |
3 |
|
0 |
0 |
|
0 |
0 |
TN |
66479 |
1251 |
|
1525 |
230 |
|
66721 |
15 |
|
1283 |
18 |
TX |
760053 |
11887 |
|
806 |
148 |
|
760693 |
381 |
|
166 |
13 |
UT |
23032 |
2006 |
|
6397 |
860 |
|
0 |
0 |
|
0 |
0 |
VA |
42589 |
3452 |
|
797 |
371 |
|
42642 |
215 |
|
744 |
225 |
VT |
7775 |
1394 |
|
57 |
39 |
|
0 |
0 |
|
0 |
0 |
WA |
31378 |
2977 |
|
10693 |
4452 |
|
0 |
0 |
|
0 |
0 |
WI |
128421 |
4700 |
|
7220 |
669 |
|
129822 |
109 |
|
5819 |
197 |
WV |
5227 |
2179 |
|
174 |
145 |
|
5257 |
214 |
|
144 |
49 |
WY |
7414 |
1665 |
|
446 |
309 |
|
7668 |
103 |
|
192 |
97 |
Total |
3,612,626 |
175,655 |
|
152,138 |
25,141 |
|
3,421,950 |
6,133 |
|
105,632 |
3,674 |
Table 5. Potential sample universe for the Waterfowl Parts Survey Form 3-165, based on 2015 data. |
|||||
|
Ducks |
|
Geese |
||
State |
Harvest |
Number of wings |
|
Harvest |
Number of wings |
AK |
20,300 |
525 |
|
5,400 |
89 |
AL |
106,800 |
488 |
|
12,500 |
21 |
AR |
945,400 |
3685 |
|
86,900 |
222 |
AZ |
21,700 |
505 |
|
2,500 |
20 |
CA |
1,266,100 |
7511 |
|
167,700 |
755 |
CO |
111,900 |
472 |
|
80,200 |
270 |
CT |
7,700 |
186 |
|
5,700 |
190 |
DE |
26,700 |
315 |
|
13,700 |
136 |
FL |
183,500 |
1750 |
|
900 |
15 |
GA |
135,800 |
568 |
|
56,600 |
109 |
IA |
167,900 |
1055 |
|
54,900 |
139 |
ID |
173,700 |
1659 |
|
44,100 |
355 |
IL |
263,200 |
1657 |
|
90,200 |
380 |
IN |
75,400 |
424 |
|
37,400 |
149 |
KS |
236,200 |
1565 |
|
109,000 |
303 |
KY |
129,400 |
369 |
|
29,000 |
55 |
LA |
846,400 |
5497 |
|
54,300 |
62 |
MA |
17,900 |
474 |
|
9,800 |
185 |
MD |
71,400 |
970 |
|
106,100 |
869 |
ME |
12,200 |
412 |
|
7,300 |
184 |
MI |
317,500 |
1061 |
|
159,700 |
458 |
MN |
573,400 |
1670 |
|
143,700 |
296 |
MO |
408,700 |
2099 |
|
45,700 |
237 |
MS |
222,900 |
924 |
|
14,600 |
44 |
MT |
183,700 |
1154 |
|
73,400 |
486 |
NC |
309,200 |
1717 |
|
37,400 |
88 |
ND |
509,300 |
4727 |
|
162,400 |
1400 |
NE |
167,000 |
1555 |
|
91,000 |
282 |
NH |
9,700 |
256 |
|
4,100 |
77 |
NJ |
37,500 |
742 |
|
16,100 |
257 |
NM |
24,300 |
598 |
|
2,300 |
18 |
NV |
27,200 |
563 |
|
4,500 |
86 |
NY |
129,200 |
2015 |
|
102,900 |
995 |
OH |
120,600 |
676 |
|
65,100 |
165 |
OK |
261,600 |
1673 |
|
42,200 |
84 |
OR |
238,900 |
4388 |
|
52,000 |
692 |
PA |
69,500 |
721 |
|
76,400 |
783 |
RI |
5,400 |
237 |
|
3,700 |
219 |
SC |
139,500 |
983 |
|
19,300 |
11 |
SD |
180,800 |
1977 |
|
73,200 |
313 |
TN |
196,500 |
761 |
|
20,300 |
35 |
TX |
733,700 |
6641 |
|
92,600 |
188 |
UT |
193,000 |
1722 |
|
21,100 |
147 |
VA |
112,700 |
1277 |
|
40,500 |
355 |
VT |
14,800 |
253 |
|
6,800 |
143 |
WA |
444,400 |
4106 |
|
63,300 |
553 |
WI |
449,400 |
1627 |
|
99,600 |
307 |
WV |
5,900 |
84 |
|
3,700 |
90 |
WY |
31,100 |
750 |
|
18,400 |
295 |
Total |
10,937,000 |
77,044 |
|
2,530,200 |
13,612 |
Table 6. Potential sample universe for the Mourning Dove Parts Collection Survey for Form 3-165D, based on 2015 data. |
||
ST |
Doves harvested |
Dove wings collected |
AL |
428,000 |
503 |
AR |
252,500 |
300 |
AZ |
401,500 |
1046 |
CA |
686,900 |
621 |
CO |
204,500 |
641 |
DE |
24,900 |
91 |
FL |
142,000 |
466 |
GA |
725,800 |
341 |
IA |
111,500 |
266 |
ID |
100,800 |
356 |
IL |
283,700 |
575 |
IN |
93,700 |
721 |
KS |
558,200 |
268 |
KY |
286,600 |
26 |
LA |
214,200 |
151 |
MD |
63,100 |
105 |
MN |
96,800 |
310 |
MO |
307,400 |
348 |
MS |
257,100 |
246 |
MT |
18,100 |
25 |
NC |
734,300 |
591 |
ND |
73,600 |
545 |
NE |
160,700 |
391 |
NM |
111,900 |
133 |
NV |
22,400 |
204 |
OH |
131,300 |
397 |
OK |
294,000 |
312 |
OR |
22,600 |
127 |
PA |
119,300 |
153 |
RI |
1,100 |
15 |
SC |
548,700 |
362 |
SD |
84,600 |
405 |
TN |
288,400 |
294 |
TX |
4,892,200 |
572 |
UT |
54,800 |
240 |
VA |
229,500 |
274 |
WA |
43,600 |
258 |
WI |
60,400 |
133 |
WV |
13,700 |
32 |
WY |
15,000 |
401 |
Total |
13,159,400 |
13,245 |
Table 7. Potential sample universe for the Other Migratory Game Bird Survey for Form 3-165B, based on 2015 data. |
||||||||
|
Woodcock |
|
Rail species |
|
Band-tailed pigeon |
|||
State |
Harvest |
Number of wings |
|
Harvest |
Number of wings |
|
Harvest |
Number of wings |
AL |
6,200 |
|
|
0 |
0 |
|
. |
. |
AR |
7,300 |
2 |
|
0 |
2 |
|
. |
. |
AZ |
0 |
. 1 |
|
. |
. |
|
500 |
0 |
CA |
0 |
. |
|
. |
. |
|
6,700 |
32 |
CO |
0 |
. |
|
0 |
0 |
|
200 |
0 |
CT |
800 |
171 |
|
200 |
0 |
|
. |
. |
DE |
100 |
7 |
|
0 |
0 |
|
. |
. |
FL |
0 |
0 |
|
3,600 |
0 |
|
. |
. |
GA |
1,800 |
51 |
|
3,500 |
15 |
|
. |
. |
IA |
400 |
19 |
|
0 |
5 |
|
. |
. |
IL |
200 |
3 |
|
0 |
0 |
|
. |
. |
IN |
600 |
68 |
|
100 |
0 |
|
. |
. |
KS |
400 |
0 |
|
0 |
0 |
|
. |
. |
KY |
600 |
1 |
|
0 |
0 |
|
. |
. |
LA |
3,600 |
195 |
|
200 |
2 |
|
. |
. |
MA |
1,800 |
434 |
|
100 |
3 |
|
. |
. |
MD |
1,100 |
119 |
|
8,200 |
0 |
|
. |
. |
ME |
4,800 |
936 |
|
0 |
0 |
|
. |
. |
MI |
63,200 |
2,781 |
|
1,000 |
0 |
|
. |
. |
MN |
25,700 |
1,232 |
|
0 |
19 |
|
. |
. |
MO |
400 |
53 |
|
0 |
11 |
|
. |
. |
MS |
3,600 |
23 |
|
0 |
0 |
|
. |
. |
NC |
7,200 |
114 |
|
0 |
76 |
|
. |
. |
NE |
0 |
0 |
|
0 |
0 |
|
. |
. |
NH |
9,200 |
691 |
|
. |
. |
|
. |
. |
NJ |
4,800 |
205 |
|
1,700 |
26 |
|
. |
. |
NM |
0 |
. |
|
0 |
0 |
|
100 |
6 |
NY |
8,700 |
623 |
|
0 |
2 |
|
. |
. |
OH |
2,200 |
105 |
|
100 |
2 |
|
. |
. |
OK |
0 |
0 |
|
500 |
0 |
|
. |
. |
OR |
0 |
. |
|
. |
. |
|
600 |
36 |
PA |
5,400 |
353 |
|
0 |
0 |
|
. |
. |
RI |
200 |
4 |
|
100 |
0 |
|
. |
. |
SC |
2,000 |
201 |
|
3,500 |
25 |
|
. |
. |
TN |
0 |
3 |
|
0 |
0 |
|
. |
. |
TX |
1,000 |
. |
|
0 |
0 |
|
. |
. |
UT |
0 |
. |
|
. |
. |
|
20 |
0 |
VA |
3,300 |
213 |
|
4,200 |
105 |
|
. |
. |
VT |
3,400 |
393 |
|
. |
. |
|
. |
. |
WA |
0 |
. |
|
. |
. |
|
100 |
15 |
WI |
31,000 |
2,281 |
|
0 |
0 |
|
. |
. |
WV |
800 |
62 |
|
0 |
0 |
|
. |
. |
WY |
0 |
. |
|
600 |
0 |
|
. |
. |
Total |
201,800 |
11,343 |
|
27,600 |
293 |
|
8,220 |
89 |
1 "." indicates no season available in the state. |
|
|
|
|
Table 8. Potential respondant universe, number of sandhill crane hunters, and response rates for Form 3-2056N, based on 2015 counts. |
||||
state |
Number of hunters |
Number sampled |
Number of responses |
Response rate |
AK |
2,186 |
206 |
77 |
37% |
CO |
787 |
459 |
178 |
39% |
KS |
1,040 |
662 |
307 |
46% |
MN |
1,199 |
600 |
342 |
57% |
MT |
404 |
404 |
316 |
78% |
ND |
4,543 |
909 |
609 |
67% |
NM |
365 |
365 |
284 |
78% |
OK |
510 |
257 |
141 |
55% |
SD |
4,876 |
605 |
392 |
65% |
TX |
22,033 |
4,407 |
1,807 |
41% |
WY |
454 |
454 |
313 |
69% |
Total |
38,397 |
9,328 |
4,766 |
55% |
-
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | FWS User |
File Modified | 0000-00-00 |
File Created | 2023-12-12 |