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
	Male		Female		Total
	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
	Male		Female		Total		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
	No			Yes			Total
	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

	Mean			Median
	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
	No		Yes		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
	No			Yes			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
	No		Yes		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
	No		Yes		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 graduate		College graduate		Total
	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
	White		Black		Other		Total
	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
	White		Black		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 member		Union member		Total
	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
	Male		Female		Total
	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
	Male		Female		Total
	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
			Female		Total
			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
	Male		Female		Total
	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
	Pregnant		Not pregnant		Total
	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
	Pregnant		Not pregnant		Total
	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.

Latest

• Current beta is version 3.0.9. dated 17 Apr 2019. Please refresh your browser if downloading the latest version.
  This version corrects the dropcols bug introduced in version 3.0.4. Note that 3.0.8 was an interim solution.
• User Guide now in Sixth Printing (April 2019). Changes and bug fixes are noted in the header of the ado file.

  ---

• Version 3 enhancements include:
• new output styles: for Word and Excel
• table titles and footnotes
• dropping columns and reshaping of tables
• template files for ease of use
• easy creation of dynamic documents