0704-0624_Supporting_Statement_Part_B_SOFS-A_2023_6.29.2023

0704-0624_Supporting_Statement_Part_B_SOFS-A_2023_6.29.2023.docx

Status of Forces Survey of Active Duty Members

OMB: 0704-0624

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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


File Typeapplication/vnd.openxmlformats-officedocument.wordprocessingml.document
AuthorPatricia Toppings
File Modified0000-00-00
File Created2023-07-29

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