proc freq data=clinic.diabetes;
        tables height;
     run;

Height	Frequency	Percent	Cumulative Frequency	Cumulative Percent
61	2	10.00	2	10.00
62	1	5.00	3	15.00
63	1	5.00	4	20.00
64	3	15.00	7	35.00
65	2	10.00	9	45.00
66	2	10.00	11	55.00
68	2	10.00	13	65.00
70	2	10.00	15	75.00
71	2	10.00	17	85.00
72	1	5.00	18	90.00
73	1	5.00	19	95.00
75	1	5.00	20	100.00

You might prefer to view the values in a different order. To control the way that PROC FREQ displays distributions, add the ORDER= option to the PROC FREQ statement and specify the method you prefer.

General form, ORDER= option: ORDER=DATA|FORMATTED|FREQ|INTERNAL where DATA orders values by appearance in the data set FORMATTED orders by formatted value FREQ orders values by descending frequency count INTERNAL orders by unformatted value (default). The ORDER= option does not apply to missing values, which are always ordered first.

Example: ORDER=DATA ORDER=DATA arranges variable values in the order they first occur in the input data.

SAS Data Set Clinic.Diabetes

ID	Sex	Age	Height	Weight	Pulse	FastGluc	PostGluc
2304	F	16	61	102	100	568	625
1128	M	43	71	218	76	156	208
4425	F	48	66	162	80	244	322
1387	F	57	64	142	70	177	206
9012	F	39	63	157	68	257	318
6312	M	52	72	240	77	362	413
5438	F	42	62	168	83	247	304
3788	M	38	73	234	71	486	544
9125	F	56	64	159	70	166	215
3438	M	15	66	140	67	492	547
1274	F	50	65	153	70	193	271
3347	M	53	70	193	78	271	313
2486	F	63	65	157	70	152	224
1129	F	48	61	137	69	267	319
9723	M	52	75	219	65	348	403
8653	M	49	68	185	79	259	311
4451	M	54	71	196	81	373	431
3279	M	40	70	213	82	447	504
4759	F	60	68	164	71	155	215
6488	F	59	64	154	75	362	409

proc freq data=clinic.diabetes order=data; tables height; run;

Height	Frequency	Percent	Cumulative Frequency	Cumulative Percent
61	2	10.00	2	10.00
71	2	10.00	4	20.00
66	2	10.00	6	30.00
64	3	15.00	9	45.00
63	1	5.00	10	50.00
72	1	5.00	11	55.00
62	1	5.00	12	60.00
73	1	5.00	13	65.00
65	2	10.00	15	75.00
70	2	10.00	17	85.00
75	1	5.00	18	90.00
68	2	10.00	20	100.00