Examples of tabout tables

This page contains some of the example tables from the User Guide. The code for these tables can be found on the Examples code page of this website, from links inside User Guide.

Some LaTeX examples can be seen in this PDF document and the examples below are from the html output.

There is also a mock dynamic html page example here. For details, see Table 41 in the User Guide.



Table 1: A Simple Example

Sex
MaleFemaleTotal
No. % No. % No. %
Location
Does not live in the South 584 58.2 651 57.8 1,235 58.0
Lives in the South 420 41.8 475 42.2 895 42.0
Total 1,004 100.0 1,126 100.0 2,130 100.0
Race
White 737 73.4 810 71.9 1,547 72.6
Black 259 25.8 300 26.6 559 26.2
Other 8 0.8 16 1.4 24 1.1
Total 1,004 100.0 1,126 100.0 2,130 100.0
Member of a union
Not a union member 635 74.3 706 76.1 1,341 75.2
Union member 220 25.7 222 23.9 442 24.8
Total 855 100.0 928 100.0 1,783 100.0

Source: nlsw88.dta



Table 2: Some refinements, including the sample size

Sex
MaleFemaleTotal Sample size
% % % % % %
Location
Does not live in the South 58.2 47.3 57.8 52.7 58.0 100.0 1,235
Lives in the South 41.8 46.9 42.2 53.1 42.0 100.0 895
Total 100.0 47.1 100.0 52.9 100.0 100.0 2,130
Sample size 1,004 1,126 2,130
Race
White 73.4 47.6 71.9 52.4 72.6 100.0 1,547
Black 25.8 46.3 26.6 53.7 26.2 100.0 559
Other 0.8 33.3 1.4 66.7 1.1 100.0 24
Total 100.0 47.1 100.0 52.9 100.0 100.0 2,130
Sample size 1,004 1,126 2,130
Member of a union
Not a union member 74.3 47.4 76.1 52.6 75.2 100.0 1,341
Union member 25.7 49.8 23.9 50.2 24.8 100.0 442
Total 100.0 48.0 100.0 52.0 100.0 100.0 1,783
Sample size 855 928 1,783

Source: nlsw88.dta



Table 3: Further refinements, using column block layout

Sex
Male Female Total Male Female Total Sample size
Location
Does not live in the South 58.2 57.8 58.0 47.3 52.7 100.0 1,235
Lives in the South 41.8 42.2 42.0 46.9 53.1 100.0 895
Total 100.0 100.0 100.0 47.1 52.9 100.0 2,130
Sample size 1,004 1,126 2,130
Race
White 73.4 71.9 72.6 47.6 52.4 100.0 1,547
Black 25.8 26.6 26.2 46.3 53.7 100.0 559
Other 0.8 1.4 1.1 33.3 66.7 100.0 24
Total 100.0 100.0 100.0 47.1 52.9 100.0 2,130
Sample size 1,004 1,126 2,130
Member of a union
Not a union member 74.3 76.1 75.2 47.4 52.6 100.0 1,341
Union member 25.7 23.9 24.8 49.8 50.2 100.0 442
Total 100.0 100.0 100.0 48.0 52.0 100.0 1,783
Sample size 855 928 1,783

Source: nlsw88.dta



Table 4: Example of a simple cross tabulation

Patient died
NoYesTotal
No. Col % Cum % No. Col % Cum % No. Col % Cum %
10 or less months 4 23.5 23.5 15 48.4 48.4 19 39.6 39.6
11 to 20 months 6 35.3 58.8 8 25.8 74.2 14 29.2 68.8
21 to 30 months 2 11.8 70.6 7 22.6 96.8 9 18.8 87.5
31 or more months 5 29.4 100.0 1 3.2 100.0 6 12.5 100.0
Total 17 100.0 31 100.0 48 100.0

Source: cancer.dta



Table 5: Example of cross tabulation using panels

Education
Not college graduate College graduate Total
Location
Does not live in the South 4,941 1,516 6,458
Lives in the South 3,661 1,095 4,756
Total 8,602 2,611 11,213
% % %
Does not live in the South 76.5 23.5 100.0
Lives in the South 77.0 23.0 100.0
Total 76.7 23.3 100.0
% % %
Does not live in the South 57.4 58.1 57.6
Lives in the South 42.6 41.9 42.4
Total 100.0 100.0 100.0
Race
White 6,047 2,086 8,133
Black 2,452 482 2,934
Other 103 43 146
Total 8,602 2,611 11,213
% % %
White 74.4 25.6 100.0
Black 83.6 16.4 100.0
Other 70.3 29.7 100.0
Total 76.7 23.3 100.0
% % %
White 70.3 79.9 72.5
Black 28.5 18.5 26.2
Other 1.2 1.7 1.3
Total 100.0 100.0 100.0

Source: nlsw88.dta



Table 6: Same example with refinements

Education
Not college graduate College graduate Total
Location
Does not live in the South 4,941 1,516 6,458
Lives in the South 3,661 1,095 4,756
Total 8,602 2,611 11,213
Does not live in the South 76.5% 23.5% 100.0%
Lives in the South 77.0% 23.0% 100.0%
Total 76.7% 23.3% 100.0%
Does not live in the South 57.4% 58.1% 57.6%
Lives in the South 42.6% 41.9% 42.4%
Total 100.0% 100.0% 100.0%
Race
White 6,047 2,086 8,133
Black 2,452 482 2,934
Other 103 43 146
Total 8,602 2,611 11,213
White 74.4% 25.6% 100.0%
Black 83.6% 16.4% 100.0%
Other 70.3% 29.7% 100.0%
Total 76.7% 23.3% 100.0%
White 70.3% 79.9% 72.5%
Black 28.5% 18.5% 26.2%
Other 1.2% 1.7% 1.3%
Total 100.0% 100.0% 100.0%

Source: nlsw88.dta



Table 7: Example of sample counts and stats

Race
White Black Other Total
Col % Col % Col % Col %
Location
Does not live in the South 65.4 36.0 88.5 58.1
Lives in the South 34.6 64.0 11.5 41.9
Total 100.0 100.0 100.0 100.0
N 1,637 583 26 2,246
Pearson chi2(2)= 162.625
P-value= 0.000
Education
Not college graduate 74.3 82.3 65.4 76.3
College graduate 25.7 17.7 34.6 23.7
Total 100.0 100.0 100.0 100.0
N 1,637 583 26 2,246
Pearson chi2(2)= 16.919
P-value= 0.000

nlsw88.dta



Table 8: Same example with customisation

Race
White Black Other Total Chi2
Col % Col % Col % Col % Signif
Location
Does not live in the South 65.4 36.0 88.5 58.1 162.625
Lives in the South 34.6 64.0 11.5 41.9 ***
Total 100.0 100.0 100.0 100.0
Sample size 1,637 583 26 2,246
Education
Not college graduate 74.3 82.3 65.4 76.3 16.919
College graduate 25.7 17.7 34.6 23.7 ***
Total 100.0 100.0 100.0 100.0
Sample size 1,637 583 26 2,246

nlsw88.dta



Table 9: A oneway table

Count Col % Cum % Sample
Industry
Ag/Forestry/Fisheries 84 0.8 0.8 17
Mining 14 0.1 0.9 4
Construction 160 1.4 2.3 29
Manufacturing 1,848 16.6 18.9 367
Transport/Comm/Utility 433 3.9 22.8 90
Wholesale/Retail Trade 1,685 15.1 37.9 333
Finance/Ins/Real Estate 970 8.7 46.7 192
Business/Repair Svc 429 3.9 50.5 86
Personal Services 472 4.2 54.8 97
Entertainment/Rec Svc 99 0.9 55.6 17
Professional Services 4,151 37.3 92.9 824
Public Administration 786 7.1 100.0 176
Total 11,129 100.0 2,232
Occupation
Professional/technical 1,477 13.2 13.2 317
Managers/admin 1,322 11.8 25.1 264
Sales 3,626 32.5 57.5 726
Clerical/unskilled 511 4.6 62.1 102
Craftsmen 239 2.1 64.2 53
Operatives 1,305 11.7 75.9 246
Transport 136 1.2 77.1 28
Laborers 1,491 13.4 90.5 286
Farmers 8 0.1 90.5 1
Farm laborers 40 0.4 90.9 9
Service 75 0.7 91.6 16
Household workers 3 0.0 91.6 2
Other 938 8.4 100.0 187
Total 11,171 100.0 2,237

Source: nlsw88.dta



Table 10: Simple twoway summary table of means

Car type (mean weight in lbs.)
Domestic Foreign Total
1 3,100 3,100
2 3,354 3,354
3 3,442 2,010 3,299
4 3,532 2,208 2,870
5 1,960 2,403 2,323
Total 3,368 2,263 3,032

auto.dta



Table 11: Simple twoway summary table of medians

Candidate voted for, 1992
Clinton Bush Perot Total
% % % %
<$15k 8.3 3.2 2.5 3.2
$15-30k 10.8 8.4 4.8 8.4
$30-50k 12.3 11.4 6.3 11.4
$50-75k 8.0 8.4 3.6 8.0
$75k+ 4.7 6.2 2.1 4.7
Total 8.3 8.4 3.6 6.3

voter.dta



Table 12: Oneway summary table illustrating multiple summary measures

MeanMedian
MPG Weight (lbs) Length (in) Price Headroom (in)
Car type
Domestic (70%) 19.8 3,317.1 196.1 $4,782.50 3.5
Foreign (29%) 24.8 2,315.9 168.5 $5,759.00 2.5
Repair Record 1978
1 (2%) 21.0 3,100.0 189.0 $4,564.50 1.8
2 (11%) 19.1 3,353.8 199.4 $4,638.00 3.8
3 (43%) 19.4 3,299.0 194.0 $4,741.00 3.5
4 (26%) 21.7 2,870.0 184.8 $5,751.50 3.0
5 (15%) 27.4 2,322.7 170.2 $5,397.00 2.5

Source: auto.dta



Table 13: Oneway summary table with default headings

age age studytime studytime studytime
Patient died
No 54.2 8.0 19.0 6.0 39.0
Yes 56.8 9.0 11.0 1.0 33.0
Total 55.9 9.5 12.5 1.0 39.0
Drug type
Placebo 56.0 8.5 8.0 1.0 23.0
Trial drug 1 56.9 12.0 14.0 6.0 32.0
Trial drug 2 54.6 8.0 26.5 6.0 39.0
Total 55.9 9.5 12.5 1.0 39.0

Source: cancer.dta



Table 14: Same oneway summary table
with customised headings

Patient age (years)Length of study (months)
Mean IQR Median Minimum Maximum
Patient died
No 54.2 8.0 19.0 6.0 39.0
Yes 56.8 9.0 11.0 1.0 33.0
Total 55.9 9.5 12.5 1.0 39.0
Drug type
Placebo 56.0 8.5 8.0 1.0 23.0
Trial drug 1 56.9 12.0 14.0 6.0 32.0
Trial drug 2 54.6 8.0 26.5 6.0 39.0
Total 55.9 9.5 12.5 1.0 39.0

Source: cancer.dta. Note that IQR is interquartile range



Table 16: Survey data example

Diabetes
NoYes Total Sample size
Prop. CI Prop. CI Prop.
Race
White 0.968 [0.964-0.972] 0.032 [0.028-0.036] 1.000 9,063
Black 0.941 [0.927-0.952] 0.059 [0.048-0.073] 1.000 1,086
Other 0.980 [0.957-0.991] 0.020 [0.009-0.043] 1.000 200
Total 0.966 [0.962-0.969] 0.034 [0.031-0.038] 1.000 10,349
Pearson: Uncorrected chi2(2)= 21.348
Design-based F(1.52, 47.26)= 15.006
P-value= 0.000
Sex
Male 0.971 [0.965-0.976] 0.029 [0.024-0.035] 1.000 4,915
Female 0.961 [0.955-0.966] 0.039 [0.034-0.045] 1.000 5,434
Total 0.966 [0.962-0.969] 0.034 [0.031-0.038] 1.000 10,349
Pearson: Uncorrected chi2(1)= 7.490
Design-based F(1.00, 31.00)= 6.201
P-value= 0.018

Source: nhanes2b



Table 17: Survey data example with lb and ub options

Diabetes
NoYes Total Sample size
Prop. LB UB Prop. LB UB Prop.
Race
White 0,968 0,964 0,972 0,032 0,028 0,036 1,000 9.063
Black 0,941 0,927 0,952 0,059 0,048 0,073 1,000 1.086
Other 0,980 0,957 0,991 0,020 0,009 0,043 1,000 200
Total 0,966 0,962 0,969 0,034 0,031 0,038 1,000 10.349
Pearson: Uncorrected chi2(2)= 21,348
Design-based F(1,52, 47,26)= 15,006
P-value= 0,000
Sex
Male 0,971 0,965 0,976 0,029 0,024 0,035 1,000 4.915
Female 0,961 0,955 0,966 0,039 0,034 0,045 1,000 5.434
Total 0,966 0,962 0,969 0,034 0,031 0,038 1,000 10.349
Pearson: Uncorrected chi2(1)= 7,490
Design-based F(1,00, 31,00)= 6,201
P-value= 0,018

Source: nhanes2b. Note: lb lower bound; ub upper bound.



Table 18: Survey data example with standard errors

Diabetes
NoYes Total Sample size
Prop. SE Prop. SE Prop.
Race
White 1.0 (0.002) 0.0 (0.002) 1.0 9,063
Black 0.9 (0.006) 0.1 (0.006) 1.0 1,086
Other 1.0 (0.008) 0.0 (0.008) 1.0 200
Total 1.0 (0.002) 0.0 (0.002) 1.0 10,349
Pearson: Uncorrected chi2(2)= 21.348
Design-based F(1.52, 47.26)= 15.006
P-value= 0.000
Sex
Male 1.0 (0.003) 0.0 (0.003) 1.0 4,915
Female 1.0 (0.003) 0.0 (0.003) 1.0 5,434
Total 1.0 (0.002) 0.0 (0.002) 1.0 10,349
Pearson: Uncorrected chi2(1)= 7.490
Design-based F(1.00, 31.00)= 6.201
P-value= 0.018

Source: nhanes2b.



Table 19: Survey data with stars for significance

Diabetes
NoYes Total Sample size Significance
Prop. SE Prop. SE Prop.
Race
White 1.0 0.002 0.0 0.002 1.0 9,063 ***
Black 0.9 0.006 0.1 0.006 1.0 1,086
Other 1.0 0.008 0.0 0.008 1.0 200
Total 1.0 0.002 0.0 0.002 1.0 10,349
Sex
Male 1.0 0.003 0.0 0.003 1.0 4,915 *
Female 1.0 0.003 0.0 0.003 1.0 5,434
Total 1.0 0.002 0.0 0.002 1.0 10,349

Source: nhanes2b.



Table 20: Twoway summary table with survey data

Education
Not college graduateCollege graduateTotal
Mean wage SE Mean wage SE Mean wage SE
Occupation
Professional/technical (n=317) 10.01 (0.70) 12.22 (0.68) 11.04 (0.49)
Managers/admin (n=264) 10.10 (0.65) 14.40 (0.99) 11.29 (0.56)
Sales (n=726) 6.68 (0.18) 9.33 (0.98) 6.98 (0.20)
Clerical/unskilled (n=102) 8.52 (1.05) 9.05 (1.40) 8.62 (0.89)
Craftsmen (n=53) 7.03 (0.72) 10.47 (1.98) 7.48 (0.71)
Operatives (n=246) 5.65 (0.28) 4.21 (1.54) 5.62 (0.28)
Transport (n=28) 3.03 (0.31) 3.03 (0.31)
Laborers (n=286) 4.66 (0.22) 6.46 (1.12) 4.78 (0.22)
Farmers (n=1) 8.05 (0.00) 8.05 (0.00)
Farm laborers (n=9) 3.14 (0.28) 2.51 (0.00) 3.13 (0.28)
Service (n=16) 5.74 (0.46) 4.03 (0.00) 5.54 (0.44)
Household workers (n=2) 6.24 (0.08) 6.24 (0.08)
Other (n=187) 4.83 (0.68) 9.23 (0.31) 8.95 (0.31)
Total (n=2,237) 6.88 (0.15) 10.59 (0.32) 7.75 (0.14)
Location
Does not live in the South (n=1,304) 7.58 (0.22) 10.92 (0.42) 8.37 (0.20)
Lives in the South (n=942) 5.94 (0.19) 10.12 (0.50) 6.90 (0.20)
Total (n=2,246) 6.88 (0.15) 10.59 (0.32) 7.74 (0.14)
Race
White (n=1,637) 7.33 (0.20) 10.28 (0.32) 8.09 (0.17)
Black (n=583) 5.78 (0.17) 11.93 (1.02) 6.79 (0.25)
Other (n=26) 6.68 (0.81) 10.48 (2.50) 7.81 (0.98)
Total (n=2,246) 6.88 (0.15) 10.59 (0.32) 7.74 (0.14)

Source: nslw88.dta



Table 21: Twoway summary table with row layout

Education
Not college graduate College graduate Total
Average wage
Occupation
Professional/technical (n=317) 10.01 12.22 11.04
(90% CI) [8.86,11.17] [11.10,13.33] [10.23,11.85]
Managers/admin (n=264) 10.10 14.40 11.29
(90% CI) [9.03,11.17] [12.77,16.03] [10.37,12.21]
Sales (n=726) 6.68 9.33 6.98
(90% CI) [6.39,6.97] [7.72,10.95] [6.66,7.30]
Clerical/unskilled (n=102) 8.52 9.05 8.62
(90% CI) [6.79,10.24] [6.74,11.35] [7.15,10.09]
Craftsmen (n=53) 7.03 10.47 7.48
(90% CI) [5.84,8.21] [7.21,13.72] [6.31,8.65]
Operatives (n=246) 5.65 4.21 5.62
(90% CI) [5.19,6.11] [1.67,6.75] [5.17,6.07]
Transport (n=28) 3.03 3.03
(90% CI) [2.53,3.53] [2.53,3.53]
Laborers (n=286) 4.66 6.46 4.78
(90% CI) [4.30,5.03] [4.62,8.30] [4.41,5.14]
Farmers (n=1) 8.05 8.05
(90% CI) [8.05,8.05] [8.05,8.05]
Farm laborers (n=9) 3.14 2.51 3.13
(90% CI) [2.68,3.60] [2.51,2.51] [2.68,3.59]
Service (n=16) 5.74 4.03 5.54
(90% CI) [4.98,6.50] [4.03,4.03] [4.82,6.27]
Household workers (n=2) 6.24 6.24
(90% CI) [6.10,6.38] [6.10,6.38]
Other (n=187) 4.83 9.23 8.95
(90% CI) [3.72,5.95] [8.71,9.74] [8.45,9.46]
Total (n=2,237) 6.88 10.59 7.75
(90% CI) [6.63,7.13] [10.05,11.12] [7.52,7.99]
Location
Does not live in the South (n=1,304) 7.58 10.92 8.37
(90% CI) [7.22,7.94] [10.23,11.62] [8.04,8.70]
Lives in the South (n=942) 5.94 10.12 6.90
(90% CI) [5.62,6.25] [9.30,10.94] [6.58,7.22]
Total (n=2,246) 6.88 10.59 7.74
(90% CI) [6.63,7.13] [10.05,11.12] [7.51,7.98]

Source: nslw88.dta



Table 22: Unnecessary columns

Race
WhiteBlackOtherTotal
No. % No. % No. % No. %
Location
Does not live in the South 5,248 81 1,086 17 123 2 6,458 100
Lives in the South 2,884 61 1,848 39 23 0 4,756 100
Total 8,133 73 2,934 26 146 1 11,213 100
Sex
Male 1,999 74 689 25 17 1 2,705 100
Female 6,108 72 2,239 26 128 2 8,475 100
Total 8,107 73 2,928 26 146 1 11,180 100
Member of a union
Not a union member 5,195 74 1,708 24 106 2 7,010 100
Union member 1,447 64 785 35 37 2 2,269 100
Total 6,642 72 2,493 27 143 2 9,279 100

Source: nlsw88.dta



Table 23: Dropping columns

Race
WhiteBlack Total
No. Row % No. Row % No.
Location
Does not live in the South 5,248 81 1,086 17 6,458
Lives in the South 2,884 61 1,848 39 4,756
Total 8,133 73 2,934 26 11,213
Sex
Male 1,999 74 689 25 2,705
Female 6,108 72 2,239 26 8,475
Total 8,107 73 2,928 26 11,180
Member of a union
Not a union member 5,195 74 1,708 24 7,010
Union member 1,447 64 785 35 2,269
Total 6,642 72 2,493 27 9,279

Source: nlsw88.dta. Note that Other category has been omitted, so totals will not be accurate.



Table 24: Dropping rows

Member of a union
Not a union memberUnion memberTotal
No. % No. % No. %
Location
Does not live in the South 3,665 52 1,589 70 5,254 57
Lives in the South 3,345 48 680 30 4,024 43
Total 7,010 100 2,269 100 9,279 100
Sex
Male 1,701 24 569 25 2,270 25
Female 5,288 76 1,694 75 6,982 75
Total 6,989 100 2,263 100 9,252 100
Race
White 5,195 74 1,447 64 6,642 72
Black 1,708 24 785 35 2,493 27
Total 7,010 100 2,269 100 9,279 100

Source: nlsw88.dta. Note that Other category has been omitted, so totals will not be accurate.



Table 25: Problem with gaps

Sex
MaleFemaleTotal
No. % No. % No. %
Location
Does not live in the South 1,510 56 4,927 58 6,437 58
Lives in the South 1,195 44 3,548 42 4,743 42
Total 2,705 100 8,475 100 11,180 100
Currently pregnant
Pregnant 2,972 35 2,972 35
Not pregnant 5,503 65 5,503 65
Total 8,475 100 8,475 100
Member of a union
Not a union member 1,701 75 5,288 76 6,989 76
Union member 569 25 1,694 24 2,263 24
Total 2,270 100 6,982 100 9,252 100
Race
White 1,999 74 6,108 72 8,107 73
Black 689 25 2,239 26 2,928 26
Other 17 1 128 2 146 1
Total 2,705 100 8,475 100 11,180 100

Source: nlsw88.dta



Table 26: Plugging columns

Sex
MaleFemaleTotal
No. % No. % No. %
Location
Does not live in the South 1,510 56 4,927 58 6,437 58
Lives in the South 1,195 44 3,548 42 4,743 42
Total 2,705 100 8,475 100 11,180 100
Currently pregnant
Pregnant NA NA 2,972 35 2,972 35
Not pregnant NA NA 5,503 65 5,503 65
Total NA NA 8,475 100 8,475 100
Member of a union
Not a union member 1,701 75 5,288 76 6,989 76
Union member 569 25 1,694 24 2,263 24
Total 2,270 100 6,982 100 9,252 100
Race
White 1,999 74 6,108 72 8,107 73
Black 689 25 2,239 26 2,928 26
Other 17 1 128 2 146 1
Total 2,705 100 8,475 100 11,180 100

Source: nlsw88.dta



Table 27: Plugging columns - a problem

Sex
FemaleTotal
No. % No. %
Currently pregnant
Pregnant 2,972 35 2,972 35
Not pregnant 5,503 65 5,503 65
Total 8,475 100 8,475 100
Location
Does not live in the South 1,510 56 4,927 58 6,437 58
Lives in the South 1,195 44 3,548 42 4,743 42
Total 2,705 100 8,475 100 11,180 100
Member of a union
Not a union member 1,701 75 5,288 76 6,989 76
Union member 569 25 1,694 24 2,263 24
Total 2,270 100 6,982 100 9,252 100
Race
White 1,999 74 6,108 72 8,107 73
Black 689 25 2,239 26 2,928 26
Other 17 1 128 2 146 1
Total 2,705 100 8,475 100 11,180 100

Source: nlsw88.dta



Table 28: Plugging columns - fixing the problem

Sex
MaleFemaleTotal
No. % No. % No. %
Currently pregnant
Pregnant 2,972 35 2,972 35
Not pregnant 5,503 65 5,503 65
Total 8,475 100 8,475 100
Location
Does not live in the South 1,510 56 4,927 58 6,437 58
Lives in the South 1,195 44 3,548 42 4,743 42
Total 2,705 100 8,475 100 11,180 100
Member of a union
Not a union member 1,701 75 5,288 76 6,989 76
Union member 569 25 1,694 24 2,263 24
Total 2,270 100 6,982 100 9,252 100
Race
White 1,999 74 6,108 72 8,107 73
Black 689 25 2,239 26 2,928 26
Other 17 1 128 2 146 1
Total 2,705 100 8,475 100 11,180 100

Source: nlsw88.dta



Table 29: Twoway summary table showing use of h3c

Education
Not college graduate College graduate Total
Average wage
Does not live in the South (n=1,304) 7.58 10.92 8.37
[7.22,7.94] [10.23,11.62] [8.04,8.70]
Lives in the South (n=942) 5.94 10.12 6.90
[5.62,6.25] [9.30,10.94] [6.58,7.22]
Total (n=2,246) 6.88 10.59 7.74
[6.63,7.13] [10.05,11.12] [7.51,7.98]

Source: nslw88.dta



Table 30: Plugging rows - the problem

Currently pregnant
PregnantNot pregnantTotal
No. % No. % No. %
Location
Does not live in the South 1,913 39 3,035 61 4,948 100
Lives in the South 1,058 30 2,502 70 3,560 100
Total 2,972 35 5,536 65 8,508 100
Member of a union
Not a union member 1,708 32 3,601 68 5,309 100
Union member 694 41 1,005 59 1,700 100
Total 2,402 34 4,607 66 7,009 100
Race
White 2,212 36 3,921 64 6,134 100
Black 713 32 1,533 68 2,246 100
Other 47 36 82 64 129 100
Total 2,972 35 5,536 65 8,508 100
Sex
Female 2,972 35 5,503 65 8,475 100
Total 2,972 35 5,503 65 8,475 100

Source: nlsw88.dta



Table 31: Plugging rows - the solution

Currently pregnant
PregnantNot pregnantTotal
No. % No. % No. %
Location
Does not live in the South 1,913 39 3,035 61 4,948 100
Lives in the South 1,058 30 2,502 70 3,560 100
Total 2,972 35 5,536 65 8,508 100
Member of a union
Not a union member 1,708 32 3,601 68 5,309 100
Union member 694 41 1,005 59 1,700 100
Total 2,402 34 4,607 66 7,009 100
Race
White 2,212 36 3,921 64 6,134 100
Black 713 32 1,533 68 2,246 100
Other 47 36 82 64 129 100
Total 2,972 35 5,536 65 8,508 100
Sex
Male* 0 0 0 0 0 0
Female 2,972 35 5,503 65 8,475 100
Total 2,972 35 5,503 65 8,475 100

Source: nlsw88.dta. Note: * No male pregnancies have been reported.

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