0704-0624_Supporting_Statement_Part_B_SOFS-A_2023_6.29.2023

SUPPORTING STATEMENT – PART B

B.  COLLECTIONS OF INFORMATION EMPLOYING STATISTICAL METHODS

If the collection of information employs statistical methods, it should be indicated in Item 17 of OMB Form 83-I, and the following information should be provided in this Supporting Statement:

1.  Description of the Activity

Describe the potential respondent universe and any sampling or other method used to select respondents.  Data on the number of entities covered in the collection should be provided in tabular form for the universe as a whole and for each of the strata in the proposed sample.  Indicate the expected response rates for the collection as a whole, as well as the actual response rates achieved during the last collection, if previously conducted.

The population of interest for the 2023 SOFA consists of active duty members who are below flag rank and in the Army, Navy, Marine Corps, Air Force, Space Force, or Coast Guard. OPA uses a sampling tool developed by the Research Triangle Institute (RTI) to determine the sample size needed to achieve 95% confidence and an associated precision of 5% or less on each reporting domain. We select a single-stage, non-proportional stratified random sample to ensure statistically adequate expected number of responses for the reporting categories (i.e., domains). For SOFA, OPA uses Service, paygrade, gender, family status, and duty location to define the initial strata. We collapse these strata when there are fewer than 300 individuals in the stratum. Attachment A contains a table with the number of individuals in the population and sample by strata for the 2023 SOFA. The expected weighted response rate for this survey is about 14%, which is the same as the weighted response rate for this survey in 2022.

2.  Procedures for the Collection of Information

Describe any of the following if they are used in the collection of information:

a.  Statistical methodologies for stratification and sample selection;

As described above, OPA uses a sampling tool developed by the Research Triangle Institute (RTI) to determine the sample size needed to achieve 95% confidence and an associated precision of 5% or less on each reporting category domain. We select a single-stage, non-proportional stratified random sample to ensure statistically adequate expected number of responses for the reporting domains. For SOFA, OPA uses Service, paygrade, gender, family status, and duty location to define the initial strata. We collapse these strata when there are fewer than 300 individuals in the stratum. Once OPA determines the stratum-level sample sizes, a random number is assigned to every member of the population and the population is sorted by stratum and random number prior to sampling, which results in a randomly-ordered population within each stratum. We then select the appropriate number of members from each stratum.

b.  Estimation procedures;

OPA weights the eligible respondents in order to make inferences about the entire population of active duty members. The weighting methodology utilizes standard weighting processes. First, we assign a base weight to the sampled member based on the reciprocal of the selection probability. Second, OPA uses 20-30 administrative variables in the XGBoost application of Generalized Boosted Model (GBM) to predict survey eligibility and completion. OPA’s accurate and detailed administrative data on both survey respondents and nonrespondents provides confidence in our survey estimates. We adjust the sampling weights and then all prior-stage weights by the inverse of these model-predicted probabilities to adjust for nonresponse. Finally, we rake these adjusted weights to known population totals to further reduce the variance and bias of the estimates.

c.  Degree of accuracy needed for the Purpose discussed in the justification;

OPA creates variance strata so precision measures can be associated with each estimate. We produce precision measures for reporting categories using 95% confidence intervals with the goal of achieving a precision of 5% or less (e.g., 80% (+/- 5%) of Army E1-E4 are satisfied with their job).

d.  Unusual problems requiring specialized sampling procedures; and

OPA recognizes the response rates vary for certain domains of interest such as Service component and paygrade. To account for this, we average the response rates for the previous three surveys at the stratum level and these response rates are utilized by the sampling tool to adjust the sample and compute expected sample sizes.

e.  Use of periodic or cyclical data collections to reduce respondent burden.

To reduce burden on active duty members, OPA conducts the SOFA survey annually, whereas in the past it was conducted twice per year.

3.  Maximization of Response Rates, Non-response, and Reliability

Discuss methods used to maximize response rates and to deal with instances of non-response.  Describe any techniques used to ensure the accuracy and reliability of responses is adequate for intended purposes.  Additionally, if the collection is based on sampling, ensure that the data can be generalized to the universe under study.  If not, provide special justification.

To maximize response rates, OPA offers the survey via the Web and uses reminder letters and emails to maximize response rates. To reduce respondent burden, web-based surveys use “smart skip” technology to ensure respondents only answer questions that are applicable to them. To deal with instances of nonresponse, OPA adjusts for nonresponse in the weighting methodology. Historically OPA has found little evidence of significant NRB during these studies; however, OPA statisticians consider the risk of NRB high and consider it likely the largest source of error in OPA surveys. OPA uses probability sampling and appropriate weighting to ensure the survey data can be generalized to the universe under study.

4.  Tests of Procedures

Describe any tests of procedures or methods to be undertaken.  Testing of potential respondents (9 or fewer) is encouraged as a means of refining proposed collections to reduce respondent burden, as well as to improve the collection instrument utility.  These tests check for internal consistency and the effectiveness of previous similar collection activities.

Not applicable.

5.  Statistical Consultation and Information Analysis

a. Provide names and telephone number of individual(s) consulted on statistical aspects of the design.

Mr. Michael Shaw, Branch Chief; Statistical Methods Team, Methods, Analysis, and Systems Support, Office of People Analytics (OPA).

Dr. Matthew Scheidt, Team Lead; Statistical Methods Team, Methods, Analysis, and Systems Support, Office of People Analytics (OPA.

b. Provide name and organization of person(s) who will actually collect and analyze the collected information.

The data will be collected by Data Recognition Corporation (DRC), which is OPA’s operations contractor. Ms. Valerie Waller is the Senior Managing Director at DRC.

The data will be analyzed by OPA analysts. Lindsay Rock, Monica Wiedemann, and Amy Campbell are the lead operations analysts.

Attachment A. 2023 SOFA - Population and Sample Size by Strata

Stratum	Stratum Definitions	Population Size	Sample Size
Total		1,335,962	112,214
1	001 ARMY__E01-E04+E00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	3,392	649
2	002 ARMY__E01-E04+E00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS__EUROPE+ASIA+PACIFICISLANDS	343	71
3	003 ARMY__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	2,241	171
4	004 ARMY__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	360	79
5	005 ARMY__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	135,282	9,960
6	006 ARMY__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	14,457	2,103
7	007 ARMY__E01-E04+E00__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	1,500	277
8	008 ARMY__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	3,088	246
9	009 ARMY__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	460	84
10	010 ARMY__E01-E04+E00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	21,355	1,322
11	011 ARMY__E01-E04+E00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,445	333
12	012 ARMY__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	8,646	843
13	013 ARMY__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__EUROPE+ASIA+PACIFICISLANDS	714	92
14	014 ARMY__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	5,620	250
15	015 ARMY__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	660	68
16	016 ARMY__E05-E09__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	125,143	4,406
17	017 ARMY__E05-E09__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	14,727	1,294
18	018 ARMY__E05-E09__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	3,985	372
19	019 ARMY__E05-E09__FEMALE__SINGLEWITHKIDS__EUROPE+ASIA+PACIFICISLANDS	359	44
20	020 ARMY__E05-E09__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	4,922	199
21	021 ARMY__E05-E09__FEMALE__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	560	57
22	022 ARMY__E05-E09__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	13,336	482
23	023 ARMY__E05-E09__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,845	168
24	024 ARMY__W01-W05+W00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	785	88
25	025 ARMY__W01-W05+W00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	443	39
26	026 ARMY__W01-W05+W00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	10,971	822
27	027 ARMY__W01-W05+W00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,412	125
28	028 ARMY__W01-W05+W00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	601	56
29	029 ARMY__W01-W05+W00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	919	72
30	030 ARMY__O01-O03+O00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	841	82
31	031 ARMY__O01-O03+O00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,462	91
32	032 ARMY__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	32,984	1,712
33	033 ARMY__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,970	249
34	034 ARMY__O01-O03+O00__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	470	47
35	035 ARMY__O01-O03+O00__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,824	110
36	036 ARMY__O01-O03+O00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	7,754	393
37	037 ARMY__O01-O03+O00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	835	68
38	038 ARMY__O04-O06__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	801	63
39	039 ARMY__O04-O06__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	958	55
40	040 ARMY__O04-O06__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	19,189	903
41	041 ARMY__O04-O06__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,669	182
42	042 ARMY__O04-O06__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	474	37
43	043 ARMY__O04-O06__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,026	54
44	044 ARMY__O04-O06__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	3,257	153
45	045 ARMY__O04-O06__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	349	26
46	046 NAVY__E01-E04+E00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	609	118
47	047 NAVY__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	3,187	300
48	048 NAVY__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	86,936	7,530
49	049 NAVY__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	7,716	828
50	050 NAVY__E01-E04+E00__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	1,140	205
51	051 NAVY__E01-E04+E00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	312	40
52	052 NAVY__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	3,899	340
53	053 NAVY__E01-E04+E00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	22,357	1,768
54	054 NAVY__E01-E04+E00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,313	266
55	055 NAVY__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	5,087	460
56	056 NAVY__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	591	57
57	057 NAVY__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	5,340	187
58	058 NAVY__E05-E09__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	103,764	3,027
59	059 NAVY__E05-E09__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	10,399	683
60	060 NAVY__E05-E09__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	3,638	334
61	061 NAVY__E05-E09__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	377	39
62	062 NAVY__E05-E09__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	5,024	180
63	063 NAVY__E05-E09__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	17,331	593
64	064 NAVY__E05-E09__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,657	119
65	065 NAVY__W01-W05+W00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	330	33
66	066 NAVY__W01-W05+W00__MALE+UNKNOWN+FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,688	124
67	067 NAVY__O01-O03+O00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	449	55
68	068 NAVY__O01-O03+O00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	929	80
69	069 NAVY__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	22,315	1,626
70	070 NAVY__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,857	156
71	071 NAVY__O01-O03+O00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,529	123
72	072 NAVY__O01-O03+O00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	5,878	427
73	073 NAVY__O01-O03+O00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	595	50
74	074 NAVY__O04-O06__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,094	89
75	075 NAVY__O04-O06__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	14,349	919
76	076 NAVY__O04-O06__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,620	119
77	077 NAVY__O04-O06__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	931	70
78	078 NAVY__O04-O06__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,628	159
79	079 MARINECORPS__E01-E04+E00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	498	150
80	080 MARINECORPS__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	1,579	242
81	081 MARINECORPS__E01-E04+E00__MALE+UNKNOWN+FEMALE__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	423	53
82	082 MARINECORPS__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	79,069	22,402
83	083 MARINECORPS__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	11,681	1,700
84	084 MARINECORPS__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	1,379	199
85	085 MARINECORPS__E01-E04+E00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	6,501	1,605
86	086 MARINECORPS__E01-E04+E00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,064	112
87	087 MARINECORPS__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	1,611	169
88	088 MARINECORPS__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	362	31
89	089 MARINECORPS__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	1,527	91
90	090 MARINECORPS__E05-E09__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	36,607	2,927
91	091 MARINECORPS__E05-E09__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	4,830	297
92	092 MARINECORPS__E05-E09__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	612	68
93	093 MARINECORPS__E05-E09__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,288	63
94	094 MARINECORPS__E05-E09__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	2,531	222
95	095 MARINECORPS__E05-E09__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	319	26
96	096 MARINECORPS__W01-W05+W00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	260	27
97	097 MARINECORPS__W01-W05+W00__MALE+UNKNOWN+FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	1,620	128
98	098 MARINECORPS__W01-W05+W00__MALE+UNKNOWN+FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	302	23
99	099 MARINECORPS__O01-O03+O00__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	566	118
100	100 MARINECORPS__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	9,631	1,785
101	101 MARINECORPS__O01-O03+O00__MALE+UNKNOWN+FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,153	191
102	102 MARINECORPS__O01-O03+O00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	360	78
103	103 MARINECORPS__O01-O03+O00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	1,014	186
104	104 MARINECORPS__O04-O06__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	344	73
105	105 MARINECORPS__O04-O06__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	5,005	949
106	106 MARINECORPS__O04-O06__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	750	130
107	107 MARINECORPS__O04-O06__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE+ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	454	88
108	108 AIRFORCE__E01-E04+E00__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,234	160
109	109 AIRFORCE__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	3,401	163
110	110 AIRFORCE__E01-E04+E00__MALE+UNKNOWN__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	598	69
111	111 AIRFORCE__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	78,596	3057
112	112 AIRFORCE__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	11,448	1,066
113	113 AIRFORCE__E01-E04+E00__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,196	138
114	114 AIRFORCE__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	4,432	213
115	115 AIRFORCE__E01-E04+E00__FEMALE__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	713	77
116	116 AIRFORCE__E01-E04+E00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	19,158	702
117	117 AIRFORCE__E01-E04+E00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,464	245
118	118 AIRFORCE__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	4,448	326
119	119 AIRFORCE__E05-E09__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS__EUROPE+ASIA+PACIFICISLANDS	852	77
120	120 AIRFORCE__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	8,626	305
121	121 AIRFORCE__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	1,359	99
122	122 AIRFORCE__E05-E09__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	79,098	2,458
123	123 AIRFORCE__E05-E09__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	15,265	983
124	124 AIRFORCE__E05-E09__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	2,782	198
125	125 AIRFORCE__E05-E09__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	7,610	254
126	126 AIRFORCE__E05-E09__FEMALE__DUALSERVICESPOUSE__EUROPE+ASIA+PACIFICISLANDS	1,096	79
127	127 AIRFORCE__E05-E09__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	12,605	383
128	128 AIRFORCE__E05-E09__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	2,083	139
129	129 AIRFORCE__O01-O03+O00__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,137	126
130	130 AIRFORCE__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	21,597	1,037
131	131 AIRFORCE__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,654	107
132	132 AIRFORCE__O01-O03+O00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,418	135
133	133 AIRFORCE__O01-O03+O00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	5,737	260
134	134 AIRFORCE__O01-O03+O00__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	593	38
135	135 AIRFORCE__O04-O06__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	448	31
136	136 AIRFORCE__O04-O06__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,587	68
137	137 AIRFORCE__O04-O06__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	16,763	689
138	138 AIRFORCE__O04-O06__MALE+UNKNOWN__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	1,890	118
139	139 AIRFORCE__O04-O06__FEMALE__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	328	21
140	140 AIRFORCE__O04-O06__FEMALE__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,362	57
141	141 AIRFORCE__O04-O06__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	3,345	137
142	142 AIRFORCE__O04-O06__FEMALE__ALLOTHERS__EUROPE+ASIA+PACIFICISLANDS	411	26
143	143 COASTGUARD__E01-E04+E00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	340	133
144	144 COASTGUARD__E01-E04+E00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	9,588	3,333
145	145 COASTGUARD__E01-E04+E00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN	1,541	531
146	146 COASTGUARD__E05-E09__MALE+UNKNOWN__SINGLEWITHKIDS__US+USTERRITORIES+OTHER+UNKNOWN	799	85
147	147 COASTGUARD__E05-E09__MALE+UNKNOWN__DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	436	45
148	148 COASTGUARD__E05-E09__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	15,038	1,336
149	149 COASTGUARD__E05-E09__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN	625	60
150	150 COASTGUARD__E05-E09__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,030	177
151	151 COASTGUARD__W01-W05+W00__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE+ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,677	55
152	152 COASTGUARD__O01-O03+O00__MALE+UNKNOWN__SINGLEWITHKIDS+DUALSERVICESPOUSE+ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,840	909
153	153 COASTGUARD__O01-O03+O00__FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE+ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,158	342
154	154 COASTGUARD__O04-O06__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	354	107
155	155 COASTGUARD__O04-O06__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	2,080	637
156	156 COASTGUARD__O04-O06__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	461	126
157	157 SPACEFORCE__E01-E04+E00+E05-E09__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	426	426
158	158 SPACEFORCE__E01-E04+E00__MALE+UNKNOWN+FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,426	1,426
159	159 SPACEFORCE__E05-E09__MALE+UNKNOWN+FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,983	1,866
160	160 SPACEFORCE__O01-O03+O00+O04-O06__MALE+UNKNOWN+FEMALE__SINGLEWITHKIDS+DUALSERVICESPOUSE__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	483	300
161	161 SPACEFORCE__O01-O03+O00__MALE+UNKNOWN__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,707	1,079
162	162 SPACEFORCE__O01-O03+O00__FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	401	249
163	163 SPACEFORCE__O04-O06__MALE+UNKNOWN+FEMALE__ALLOTHERS__US+USTERRITORIES+OTHER+UNKNOWN+EUROPE+ASIA+PACIFICISLANDS	1,592	717

11