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The Youth in Transition Survey (YITS) - Cycle 6

Confirmation of Open Jobs from Cycle 5, Roster

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: P1UNID
Position: 11
Length: 2

Longitudinal job identifier which permits following a job across cycles.

Table 1
	Response	FREQ	WTD
11	cycle 1, job 1	0	N/A
12	cycle 1, job 2	0	N/A
13	cycle 1, job 3	0	N/A
14	cycle 1, job 4	0	N/A
15	cycle 1, job 5	0	N/A
16	cycle 1, job 6	0	N/A
17	cycle 1, job 7	0	N/A
21	cycle 2, job 1	284	N/A
22	cycle 2, job 2	167	N/A
23	cycle 2, job 3	72	N/A
24	cycle 2, job 4	1	N/A
25	cycle 2, job 5	3	N/A
26	cycle 2, job 6	0	N/A
27	cycle 2, job 7	0	N/A
31	cycle 3, job 1	200	N/A
32	cycle 3, job 2	289	N/A
33	cycle 3, job 3	196	N/A
34	cycle 3, job 4	76	N/A
35	cycle 3, job 5	22	N/A
36	cycle 3, job 6	4	N/A
37	cycle 3, job 7	1	N/A
41	cycle 4, job 1	537	N/A
42	cycle 4, job 2	845	N/A
43	cycle 4, job 3	455	N/A
44	cycle 4, job 4	225	N/A
45	cycle 4, job 5	82	N/A
46	cycle 4, job 6	19	N/A
47	cycle 4, job 7	4	N/A
51	cycle 5, job 1	1,495	N/A
52	cycle 5, job 2	3,021	N/A
53	cycle 5, job 3	1,794	N/A
54	cycle 5, job 4	835	N/A
55	cycle 5, job 5	321	N/A
56	cycle 5, job 6	117	N/A
57	cycle 5, job 7	29	N/A
61	cycle 6, job 1	0	N/A
62	cycle 6, job 2	0	N/A
63	cycle 6, job 3	0	N/A
64	cycle 6, job 4	0	N/A
65	cycle 6, job 5	0	N/A
66	cycle 6, job 6	0	N/A
67	cycle 6, job 7	0	N/A
Total		11,094	N/A

Coverage: For the Confirmation of Open Jobs from cycle 5 Roster: Respondents who had a job in December 2007. For the Cycle 6 Job Roster: Respondents who had a job between January 2008 and December 2009.

Section: Work-related Questions

Variable Name: P16Q06M
Position: 13
Length: 2

In what month and year did you realize that you would not be returning to (employer name)?

Table 2
	Response	FREQ	WTD
01	January	18	N/A
02	February	2	N/A
03	March	6	N/A
04	April	4	N/A
05	May	8	N/A
06	June	3	N/A
07	July	3	N/A
08	August	10	N/A
09	September	7	N/A
10	October	5	N/A
11	November	7	N/A
12	December	19	N/A
96	Valid skip	10,938	N/A
98	Refused	3	N/A
99	Not stated	61	N/A
Total		11,094	N/A

Coverage: Respondents who, in cycle 5, reported having a job (at which they did not work) in December 2007, who had not returned to that job between January 2008 and December 2009.
Note: Fill table variable name: ^EmpName. Reference period: ^RefPerEng02.

Variable Name: P16Q06Y
Position: 15
Length: 4

What Year?

Allowed values: 2007 : 2009

Table 3
	Response	FREQ	WTD
2007 : 2009	Year	93	N/A
9996	Valid skip	10,938	N/A
9998	Refused	2	N/A
9999	Not stated	61	N/A
Total		11,094	N/A

Coverage: Respondents who, in cycle 5, reported having a job (at which they did not work) in December 2007, who had not returned to that job between January 2008 and December 2009.

Variable Name: P16Q08M
Position: 19
Length: 2

During what month and year did your job with (employer name) end?

Table 4
	Response	FREQ	WTD
01	January	199	N/A
02	February	70	N/A
03	March	62	N/A
04	April	89	N/A
05	May	80	N/A
06	June	77	N/A
07	July	36	N/A
08	August	71	N/A
09	September	68	N/A
10	October	49	N/A
11	November	73	N/A
12	December	1,082	N/A
96	Valid skip	9,052	N/A
98	Refused	17	N/A
99	Not stated	69	N/A
Total		11,094	N/A

Coverage: Respondents who were working at a job in December 2007, who did not work at that job between January 2008 and December 2009.
Note: Fill table variable name: ^EmpName. Reference period: ^RefPerEng02.

Variable Name: P16Q08Y
Position: 21
Length: 4

What Year?

Allowed values: 2007 : 2009

Table 5
	Response	FREQ	WTD
2007 : 2009	Year	1,963	N/A
9996	Valid skip	9,052	N/A
9998	Refused	10	N/A
9999	Not stated	69	N/A
Total		11,094	N/A

Coverage: Respondents who were working at a job in December 2007, who did not work at that job between January 2008 and December 2009.

Variable Name: P16Q09
Position: 25
Length: 1

Did you leave this job or did the job come to an end?

Table 6
	Response	FREQ	WTD
1	Left job	1,390	N/A
2	Job came to an end	637	N/A
3	Both	36	N/A
6	Valid skip	8,957	N/A
7	Don't know	4	N/A
8	Refused	1	N/A
9	Not stated	69	N/A
Total		11,094	N/A

Coverage: Respondents who had a job or worked at a job in December 2007 (cycle 5 job) and did not work at that job between January 2008 and December 2009.

Variable Name: P16Q10
Position: 26
Length: 2

What was your main reason for leaving this job?

Table 7
	Response	FREQ	WTD
01	Going to school / training	203	N/A
02	Own health	36	N/A
03	Pregnant / caring for own children	59	N/A
04	Other personal or family responsibilities	25	N/A
05	Found new job	449	N/A
06	Moved to a new residence	152	N/A
07	Dissatisfied with job	279	N/A
08	To concentrate on other job	131	N/A
09	Other - Specify	90	N/A
96	Valid skip	9,594	N/A
97	Don't know	1	N/A
99	Not stated	75	N/A
Total		11,094	N/A

Coverage: Respondents who had a job or worked at a job in December 2007 (cycle 5 job) and left that job prior to January 2010.

Variable Name: P16Q11
Position: 28
Length: 2

What was the main reason why this job came to an end?

Table 8
	Response	FREQ	WTD
01	Company moved	7	N/A
02	Company went out of business	73	N/A
03	Seasonal nature of work	105	N/A
04	Layoff / Business slowdown (non-seasonal)	127	N/A
05	Labour dispute	5	N/A
06	Dismissal / fired by employer	23	N/A
07	Temporary job / Contract ended	243	N/A
08	Other - Specify	85	N/A
96	Valid skip	10,410	N/A
97	Don't know	5	N/A
99	Not stated	11	N/A
Total		11,094	N/A

Coverage: Respondents who had a job or worked at a job in December 2007 (cycle 5 job) and the job ended prior to January 2010.

Section: Derived Variable

Variable Name: INELJBD6
Position: 30
Length: 1

Derived variable: Respondents were asked details about jobs they reported in cycle 5 that they either worked at in December 2006 or jobs they had in December 2007 but had not worked at during that period. Some of these jobs became ineligible during cycle 6 collection because of respondent recall, respondents reporting that they did not return to work at the job in 2008/2009, or the job became not eligible during cycle 6 collection because the respondent was not able to provide key information about the cycle 5 job. INELJBD6 notes the reason why this job became ineligible.

Table 9
	Response	FREQ	WTD
1	Respondent denies having had cycle 5 job	186	N/A
2	Respondent did not return to work at job in 2008 or 2009	2,069	N/A
3	Job became ineligible during cycle 6 collection	56	N/A
6	Valid skip	8,721	N/A
9	Not stated	62	N/A
Total		11,094	N/A

Coverage: Respondents who HAD a job in December 2007.
Note: This variable was derived from the variables: JOBST, JOBED and ELFLG.

Section: Derived Variables

Variable Name: RETmmD6
Position: 31
Length: 2

Derived variable: Date (month) respondent returned to work.

Table 10
	Response	FREQ	WTD
01	January	56	N/A
02	February	12	N/A
03	March	10	N/A
04	April	27	N/A
05	May	40	N/A
06	June	11	N/A
07	July	7	N/A
08	August	8	N/A
09	September	9	N/A
10	October	2	N/A
11	November	0	N/A
12	December	3	N/A
96	Valid skip	10,909	N/A
Total		11,094	N/A

Coverage: Respondents who had a job in cycle 5 that they were not working at in December 2007.
Note: This variable was derived from the variables: INELJBD6, JOBED, P16Q27M and P16Q27Y.

Variable Name: RETyyD6
Position: 33
Length: 4

Derived variables: Date (year) respondent returned to work.

Allowed values: 2008 : 2009

Table 11
	Response	FREQ	WTD
2008 : 2009	Year	185	N/A
9996	Valid skip	10,909	N/A
Total		11,094	N/A

Coverage: Respondents who had a job in cycle 5 that they were not working at in December 2007.
Note: This variable was derived from the variables: INELJBD6, JOBED, P16Q27M and P16Q27Y.

The Youth in Transition Survey (YITS) - Cycle 6

Job Details Roster

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: P1JOBID
Position: 11
Length: 1

Unique job identifier, indicates the position where data in this cycle for this job were collected.

Allowed values: 1 : 7

Table 1
	Response	FREQ	WTD
1 : 7	Unique job identifier	19,289	N/A
Total		19,289	N/A

Coverage: Respondents who worked at an eligible job between January 2008 and December 2009.
Note: This variable along with the RECORDID variable are used to link jobs between the roster file P1cycle6 with the ModuleP2, Job Details Roster.

Section: Employment

Variable Name: P26Q01A
Position: 12
Length: 1

At this job, did you have an incorporated business?

Table 2
	Response	FREQ	WTD
1	Yes	169	N/A
2	No	1,233	N/A
6	Valid skip	17,870	N/A
7	Don't know	11	N/A
8	Refused	2	N/A
9	Not stated	4	N/A
Total		19,289	N/A

Coverage: Respondents who were self-employed and working between January 2008 and December 2009.
Note: P104

Variable Name: P26Q02
Position: 13
Length: 1

During 2008 or 2009, at your job with (employer name), did you have any paid employees?

Table 3
	Response	FREQ	WTD
1	Yes	147	N/A
2	No	1,263	N/A
6	Valid skip	17,870	N/A
7	Don't know	3	N/A
8	Refused	2	N/A
9	Not stated	4	N/A
Total		19,289	N/A

Coverage: Respondents who were self-employed and working between January 2008 and December 2009.
Note: Fill table variable name: ^EmpName. Reference period: ^RefPErEng09.

Variable Name: P26Q03
Position: 14
Length: 3

How many paid employees did this business have on average when you last worked at this job?

Allowed values: 001 : 100

Table 4
	Response	FREQ	WTD
001 : 070	Number of employees	145	N/A
996	Valid skip	19,133	N/A
997	Don't know	2	N/A
999	Not stated	9	N/A
Total		19,289	N/A

Coverage: Respondents who were self-employed and working between January 2008 and December 2009 and where there were paid employees.
Note: P106

Variable Name: P26Q05
Position: 17
Length: 1

At any time in the last two years, that is between January 2008 and December 2009, while you were working at this job, did you ever have an unpaid leave of 4 weeks or more in a row?

Table 5
	Response	FREQ	WTD
1	Yes	2,145	N/A
2	No	15,415	N/A
6	Valid skip	1,639	N/A
7	Don't know	29	N/A
8	Refused	5	N/A
9	Not stated	56	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job between January 2008 and December 2009.
Note: P108 (cycle 1) ^RefPerEng01

Variable Name: P26Q06
Position: 18
Length: 2

During 2008 and 2009, how many unpaid leaves of 4 weeks or more in a row have you had from (employer name)?

Allowed values: 01 : 11

Table 6
	Response	FREQ	WTD
01 : 11	Number of unpaid leaves	2,056	N/A
96	Valid skip	17,054	N/A
97	Don't know	87	N/A
98	Refused	2	N/A
99	Not stated	90	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q09M
Position: 20
Length: 2

In what month and year did your first unpaid leave begin?

Table 7
	Response	FREQ	WTD
01	January	264	N/A
02	February	91	N/A
03	March	119	N/A
04	April	125	N/A
05	May	203	N/A
06	June	236	N/A
07	July	242	N/A
08	August	126	N/A
09	September	230	N/A
10	October	125	N/A
11	November	118	N/A
12	December	129	N/A
13	Before January 2008	29	N/A
96	Valid skip	17,054	N/A
98	Refused	18	N/A
99	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.
Note: P110

Variable Name: P26Q09Y
Position: 22
Length: 4

What year?

Allowed values: 2008 : 2009

Table 8
	Response	FREQ	WTD
2008 : 2009	Year leave began - 1	2,015	N/A
9996	Valid skip	17,083	N/A
9998	Refused	11	N/A
9999	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q13M
Position: 26
Length: 2

In what month and year did you go back to work?

Table 9
	Response	FREQ	WTD
01	January	80	N/A
02	February	92	N/A
03	March	111	N/A
04	April	178	N/A
05	May	193	N/A
06	June	135	N/A
07	July	107	N/A
08	August	231	N/A
09	September	379	N/A
10	October	96	N/A
11	November	86	N/A
12	December	163	N/A
13	Was still on leave in January 2010	184	N/A
96	Valid skip	17,054	N/A
98	Refused	20	N/A
99	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.
Note: P111

Variable Name: P26Q13Y
Position: 28
Length: 4

What year?

Allowed values: 2008 : 2009

Table 10
	Response	FREQ	WTD
2008 : 2009	Year returned - 1	1,857	N/A
9996	Valid skip	17,238	N/A
9998	Refused	14	N/A
9999	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q17
Position: 32
Length: 2

What was the main reason you were away from this job?

Table 11
	Response	FREQ	WTD
01	Going to school / training	317	N/A
02	Own health	122	N/A
03	Pregnant / caring for own child	115	N/A
04	Other personal or family responsibilities	38	N/A
05	Temporary layoff - seasonal conditions	403	N/A
06	Temporary layoff - non-seasonal	126	N/A
07	Casual job, no work available	198	N/A
08	Labour dispute (strike / lockout)	7	N/A
09	Vacation without pay	209	N/A
10	Other - Specify	333	N/A
96	Valid skip	17,054	N/A
97	Don't know	1	N/A
98	Refused	1	N/A
99	Not stated	365	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least one unpaid leave of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q19M
Position: 34
Length: 2

In what month and year did your second unpaid leave begin?

Table 12
	Response	FREQ	WTD
01	January	38	N/A
02	February	18	N/A
03	March	36	N/A
04	April	34	N/A
05	May	53	N/A
06	June	77	N/A
07	July	73	N/A
08	August	36	N/A
09	September	64	N/A
10	October	45	N/A
11	November	35	N/A
12	December	49	N/A
96	Valid skip	18,534	N/A
98	Refused	16	N/A
99	Not stated	181	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least 2 unpaid leaves, of four weeks or more in a row, between January 2008 and December 2009.

Variable Name: P26Q19Y
Position: 36
Length: 4

What year?

Allowed values: 2008 : 2009

Table 13
	Response	FREQ	WTD
2008 : 2009	Year leave began - 2	564	N/A
9996	Valid skip	18,534	N/A
9998	Refused	10	N/A
9999	Not stated	181	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least 2 unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q23M
Position: 40
Length: 2

In what month and year did you go back to work?

Table 14
	Response	FREQ	WTD
01	January	14	N/A
02	February	13	N/A
03	March	22	N/A
04	April	33	N/A
05	May	36	N/A
06	June	38	N/A
07	July	21	N/A
08	August	69	N/A
09	September	116	N/A
10	October	22	N/A
11	November	18	N/A
12	December	52	N/A
13	Was still on leave in January 2010	104	N/A
96	Valid skip	18,534	N/A
98	Refused	16	N/A
99	Not stated	181	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least 2 unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.
Note: P115

Variable Name: P26Q23Y
Position: 42
Length: 4

What year?

Allowed values: 2008 : 2009

Table 15
	Response	FREQ	WTD
2008 : 2009	Year returned - 2	459	N/A
9996	Valid skip	18,638	N/A
9998	Refused	11	N/A
9999	Not stated	181	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least 2 unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q29M
Position: 46
Length: 2

In what month and year did your third unpaid leave begin?

Table 16
	Response	FREQ	WTD
01	January	10	N/A
02	February	1	N/A
03	March	7	N/A
04	April	8	N/A
05	May	8	N/A
06	June	13	N/A
07	July	9	N/A
08	August	17	N/A
09	September	22	N/A
10	October	6	N/A
11	November	10	N/A
12	December	13	N/A
96	Valid skip	18,975	N/A
98	Refused	10	N/A
99	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least three unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.
Note: P118

Variable Name: P26Q29Y
Position: 48
Length: 4

What year?

Allowed values: 2008 : 2009

Table 17
	Response	FREQ	WTD
2008 : 2009	Year leave began - 3	126	N/A
9996	Valid skip	18,975	N/A
9998	Refused	8	N/A
9999	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least three unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q33M
Position: 52
Length: 2

In what month and year did you go back to work?

Table 18
	Response	FREQ	WTD
01	January	3	N/A
02	February	7	N/A
03	March	5	N/A
04	April	10	N/A
05	May	7	N/A
06	June	5	N/A
07	July	2	N/A
08	August	13	N/A
09	September	15	N/A
10	October	7	N/A
11	November	8	N/A
12	December	15	N/A
13	Was still on leave in January 2010	28	N/A
96	Valid skip	18,975	N/A
98	Refused	9	N/A
99	Not stated	180	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least three unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.
Note: P119

Variable Name: P26Q33Y
Position: 54
Length: 4

What year?

Allowed values: 2008 : 2009

Table 19
	Response	FREQ	WTD
2008 : 2009	Year returned - 3	126	98/A
9996	Valid skip	18,975	N/A
9998	Refused	8	N/A
9999	Not stated	208	N/A
Total		19,289	N/A

Coverage: Respondents who worked as paid employees at a job and who had at least three unpaid leaves, of four weeks or more in a row between January 2008 and December 2009.

Variable Name: P26Q45
Position: 58
Length: 2

What was your main reason for working less than 30 hours per week at this job?

Table 20
	Response	FREQ	WTD
01	January	1,519	N/A
02	February	503	N/A
03	March	409	N/A
04	April	1,647	N/A
05	May	31	N/A
06	June	76	N/A
07	July	136	N/A
08	August	1,509	N/A
09	September	0	N/A
10	October	0	N/A
96	Valid skip	13,396	N/A
97	Don't know	5	N/A
99	Not stated	58	N/A
Total		19,289	N/A

Coverage: Respondents who had a job between January 2008 and December 2009 and who worked less than 30 hours a week at that job.
Note: P142
One or more new categories, which were not present at the time of interview, were generated from frequency of responses to 'other specify' for this cycle.

Variable Name: P26Q61
Position: 60
Length: 1

Considering all aspects of your job, how satisfied were you with it? Would you say that you were ...?

Table 21
	Response	FREQ	WTD
1	very satisfied	5,430	N/A
2	satisfied	10,751	N/A
3	dissatisfied	2,216	N/A
4	very dissatisfied	800	N/A
7	Don't know	21	N/A
8	Refused	12	N/A
9	Not stated	59	N/A
Total		19,289	N/A

Coverage: Respondents who had a job between January 2008 and December 2009.
Note: P168

Variable Name: P26Q62
Position: 61
Length: 1

Considering the duties and responsibilities of that job, how satisfied were you with the money you made? Would you say that you were ...?

Table 22
	Response	FREQ	WTD
1	very satisfied	4,180	N/A
2	satisfied	10,405	N/A
3	dissatisfied	3,391	N/A
4	very dissatisfied	999	N/A
6	Valid skip	220	N/A
7	Don't know	23	N/A
8	Refused	13	N/A
9	Not stated	58	N/A
Total		19,289	N/A

Coverage: Respondents who were paid employees or self-employed workers between January 2008 and December 2009.
Note: P171

Variable Name: P26Q76
Position: 62
Length: 1

When you first started this job, did your employer indicate to you that your job would end at a specific point in time, for example, after a period of six months?

Table 23
	Response	FREQ	WTD
1	Yes	2,829	N/A
2	No	6,933	N/A
6	Valid skip	9,382	N/A
7	Don't know	17	N/A
8	Refused	6	N/A
9	Not stated	122	N/A
Total		19,289	N/A

Variable Name: P26Q77
Position: 63
Length: 2

When you first started working for (employer name) in (year) what method did you use to find this job?

Table 24
	Response	FREQ	WTD
01	Placement / posting at school	630	N/A
02	Public employment agency (Human Resource Centre, Student Employment Centre)	682	N/A
03	Private employment agency / temp agency	173	N/A
04	Contacted employer directly / sent out resume	1,859	N/A
05	Through friends or relatives	2,995	N/A
06	Employer contacted you directly	34	N/A
07	Answered an ad	1,316	N/A
08	Employer contacted you directly	777	N/A
09	Referral from another employer	142	N/A
10	Other - Worked there previously	1,154	N/A
11	Other - Specify	0	N/A
96	Don't know	9,382	N/A
97	Don't know	15	N/A
98	Refused	7	N/A
99	Not stated	123	N/A
Total		19,289	N/A

Coverage: Respondents who were paid employees, who had a job between January 2008 and December 2009 (includes those who had jobs from cycle 5 for which earnings, wages or salary details were not collected).
Note: One or more new categories, which were not present at the time of interview, were generated from frequency of responses to 'other specify' for this cycle.
Fill table variable names: ^EmpName, ^P2_Q65_E_fill.

Variable Name: P26Q78
Position: 65
Length: 1

In order to find or to begin this job, did you move to ...?

Table 25
	Response	FREQ	WTD
1	another country	135	N/A
2	another province	572	N/A
3	another city	753	N/A
4	within the same city	198	N/A
5	or did not move	8,963	N/A
6	Valid skip	8,516	N/A
7	Don't know	10	N/A
8	Refused	8	N/A
9	Not stated	134	N/A
Total		19,289	N/A

Coverage: Respondents who were paid employees or self-employed workers between January 2008 and December 2009, who had jobs from cycle 5 for which earnings, wages or salary details were not collected; and/or reported a new job between January 2008 and December 2009.
Note: P166

Variable Name: P26Q80
Position: 66
Length: 1

When you last worked at this job in (month/year), did you leave your job or did the job come to an end?

Table 26
	Response	FREQ	WTD
1	Left job	5,149	N/A
2	Job came to an end	2,942	N/A
3	Both	110	N/A
6	Valid skip	11,032	N/A
7	Don't know	14	N/A
8	Refused	11	N/A
9	Not stated	31	N/A
Total		19,289	N/A

Coverage: Respondents who had a job between January 2008 and December 2009 but were no longer working at that job in December 2009.
Note: Fill table variable name: ^P2_Q80_E_fill.

Variable Name: P26Q81
Position: 67
Length: 2

What was your main reason for leaving this job?

Table 27
	Response	FREQ	WTD
01	Going to school / training	824	N/A
02	Own health	83	N/A
03	Pregnant / caring for own children	178	N/A
04	Other personal or family responsibilities	112	N/A
05	Found new job	1,476	N/A
06	Move to a new residence	550	N/A
07	Dissatisfied with job	956	N/A
08	To concentrate on other job	369	N/A
09	Other - Specify	704	N/A
96	Valid skip	13,974	N/A
97	Don't know	4	N/A
98	Refused	3	N/A
99	Not stated	56	N/A
Total		19,289	N/A

Coverage: Respondents who had a job between January 2008 and December 2009 but were no longer working at that job in December 2009 because they left the job.
Note: P176

Variable Name: P26Q83
Position: 69
Length: 2

What was the main reason why this job came to an end?

Table 28
	Response	FREQ	WTD
01	Company moved	23	N/A
02	Company went out of business	127	N/A
03	Seasonal nature of work	644	N/A
04	Layoff / Business slowdown (non-seasonal)	549	N/A
05	Labour dispute	10	N/A
06	Dismissal / fired by employer	150	N/A
07	Temporary job / Contract ended	1,211	N/A
08	Other - Specify	330	N/A
96	Valid skip	16,181	N/A
97	Don't know	8	N/A
99	Not stated	56	N/A
Total		19,289	N/A

Coverage: Respondents who had a job between January 2008 and December 2009 but were no longer working at that job in December 2009 because the job came to an end.
Note: P177

Section: Derived Variables

Variable Name: EPHSI6
Position: 71
Length: 8.2

Derived variable: Earnings per hour when first started job.

Table 29
	Response	FREQ	WTD
00002.00 : 00150.00	Earnings per hour - start	19,034	N/A
99999.96	Valid skip	255	N/A
Total		19,289	N/A

Coverage: Respondents who had a job at any time between January 2008 and December 2009 and who were paid employees or self-employed when first started this job.
Note: This variable may include imputed values. If the respondent stated that he was an unpaid worker in his family's farm or business, then EPHSI6 is coded to a valid skip.

Variable Name: EPWSI6
Position: 79
Length: 8

Derived variable: Earnings per week when first started job.

Table 30
	Response	FREQ	WTD
00000002 : 00007000	Earnings per week - start	19,034	N/A
99999996	Valid skip	255	N/A
Total		19,289	N/A

Variable Name: EPMSI6
Position: 87
Length: 8

Derived variable: Earnings per month when first started job.

Table 31
	Response	FREQ	WTD
00000002 : 00028000	Earnings per month - start	19,034	N/A
99999996	Valid skip	255	N/A
Total		19,289	N/A

Variable Name: EPHEI6
Position: 95
Length: 8.2

Derived variable: Earnings per hour when last worked at job.

Table 32
	Response	FREQ	WTD
00002.00 : 00500.00	Earnings per hour - end	19,066	N/A
99999.96	Valid skip	223	N/A
Total		19,289	N/A

Coverage: Respondents who had a job at any time between January 2008 and December 2009 and who were paid employees or self-employed when last worked at this job.
Note: This variable may include imputed values. If the respondent stated that he was an unpaid worker in his family's farm or business, then EPHEI6 is coded to a valid skip.

Variable Name: EPWEI6
Position: 103
Length: 8

Derived variable: Earnings per week when last worked at job.

Table 33
	Response	FREQ	WTD
00000004 : 00006000	Earnings per week - end	19,066	N/A
99999996	Valid skip	223	N/A
Total		19,289	N/A

Variable Name: EPMEI6
Position: 111
Length: 8

Derived variable: Earnings per month when last worked at job.

Table 34
	Response	FREQ	WTD
00000004 : 00024000	Earnings per month - end	19,066	N/A
99999996	Valid skip	223	N/A
Total		19,289	N/A

Variable Name: NHWPMSI6
Position: 119
Length: 3

Derived variable: Number of hours usually worked per month when first started working at job.

Table 35
	Response	FREQ	WTD
001 : 672	Hours per month - start	19,289	N/A
Total		19,289	N/A

Coverage: Respondents who were employed at a job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: NHWPMEI6
Position: 122
Length: 3

Derived variable: Number of hours usually worked per month when last worked at job.

Table 36
	Response	FREQ	WTD
001 : 672	Hours per month - end	19,289	N/A
Total		19,289	N/A

Coverage: Respondents who were employed at a job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: NWWPMSI6
Position: 125
Length: 1

Derived variable: Number of weeks usually worked per month when first started at job.

Table 37
	Response	FREQ	WTD
1 : 5	Weeks per month - start	19,289	N/A
Total		19,289	N/A

Coverage: Respondents who were employed at a job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: NWWPMEI6
Position: 126
Length: 1

Derived variable: Number of weeks usually worked per month when last worked at job.

Table 38
	Response	FREQ	WTD
1 : 5	Weeks per month - end	19,289	N/A
Total		19,289	N/A

Coverage: Respondents who were employed at a job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: HWSD6
Position: 127
Length: 1

Derived variable: Indicates whether the respondent usually worked 30 or more hours per week when first started working at job.

Table 39
	Response	FREQ	WTD
1	Usually worked less than 30 hours per week when first worked at job	6,569	N/A
2	Usually worked 30 hours or more per week when first worked at job	12,720	N/A
Total		19,289	N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: HWED6
Position: 128
Length: 1

Derived variable: Indicates whether the respondent usually worked 30 or more hours per week when last worked at job.

Table 40
	Response	FREQ	WTD
1	Usually worked less than 30 hours per week when last worked at job	5,893	N/A
2	Usually worked 30 hours or more per week when last worked at job	13,396	N/A
Total		19,289	N/A

Coverage: Respondents who had at least one job between January 2008 and December 2009.
Note: This variable may include imputed values.

Variable Name: NMW03D6
Position: 129
Length: 2

Derived variable: Number of months in 2008-2009 where respondent did some work at job (ie. Total months employed at job less number of months respondent had unpaid leaves, if there were any).

Allowed values: 00 : 24

Table 41
	Response	FREQ	WTD
00 : 24	Number of months	19,288	N/A
99	Not stated	1	N/A
Total		19,289	N/A

Coverage: Respondents who were employed at a job between January 2008 and December 2009.
Note: This variable was derived from the variables: TNUR03D6, JOBED, P16Q27Y, P16Q27M, P16Q29Y, P16Q29M, P26Q05, P26Q09M, P26Q09Y, P26Q13M, P26Q13Y, P26Q19M, P26Q19Y, P26Q23M, P26Q23Y, P26Q29M, P26Q29Y, P26Q33M and P26Q33Y.
Total number of months respondent was employed and worked at job during 2008-2009 only. Respondent is not considered as having worked at the job during months where she/he was on an unpaid leave from the job. In addition, the information on unpaid leaves was ignored if the data was incomplete, either because the respondent did not indicate whether any unpaid breaks occurred, how many breaks occurred, did not indicate the start or end month of a break, or if the dates on leave were inconsistent with the dates of the job.

Generic Tracking Service - Privacy impact assessment

Introduction

Statistics Canada has a developed a Generic Tracking System to facilitate the shipments of printed survey collection materials to its regional offices as well as to individual field interviewers at their home addresses.

Objective

A privacy impact assessment of Statistics Canada’s Generic Tracking Service was conducted to determine if there were any privacy, confidentiality and security issues, and if so, to make recommendations for their resolution or mitigation.

Description

The Generic Tracking System will replace numerous other systems currently used by subject-matter divisions and regional offices and will offer a consistent platform for the creation, filling, shipment and receipt of these survey materials (blank questionnaires, training manuals, supplies, etc.) in a secure, timely and cost-efficient manner.

The risks associated with tracking and shipping survey materials have always been relatively low. However, moving from several tracking systems to a single generic tracking system should reduce even more risks. The Generic Tracking System will have a standard set of procedures for access control as well as a more robust functionality. In addition, if there are issues related to a shipment deliver (e.g., incorrect address), delivery service error), the Generic Tracking System will provide consistent warnings or flags so that search and notification procedures can be implemented sooner.

Conclusion

This privacy impact assessment did not identify any privacy risks that cannot be managed using either current safeguards or others that have been specifically developed for the implementation of the Generic Tracking Service.

Learning Management System - Privacy impact assessment

Introduction

The introduction of a new Learning Management System provides Statistics Canada with a better and more efficient way of managing its training program.

Objective

A privacy impact assessment of the Learning Management System was conducted to determine if there were any privacy, confidentiality and security issues, and if so, to make recommendations for their resolution or mitigation.

Description

This system provides Statistics Canada employees with an online self-serve portal that better supports their learning requirements. Employees can search and browse electronic learning catalogues, register for a course, create and review their personal learning plans, track their learning activities and submit requests for learning courses and events not currently offered. The system allows supervisors to approve the courses and learning plans of employees under their supervision as well as permitting better management of their training. Supervisors also have the ability to suggest or assign courses to their employees.

The Learning Management System also includes other functions that improve other aspects of training and learning at Statistics Canada such as the management and operation of the Agency’s learning centres; the integration of training data within the system and the production of custom reports; a connection with the internal billing process; a robust and efficient data feed from, and to, the Agency’s human resources database; and the ability to export training information to the employee self-serve portal. Overall these features greatly contribute to a standardization of the management of learning activities within the Agency.

Conclusion

Electric Power Selling Price Indexes, Non-residential, (1997=100)

Electric Power Selling Price Indexes (EPSPI) are published on a regional and provincial basis for two broad industrial customer categories of sales; for bills less than 5000 kW and for sales of 5000 kW or more. Prices are reported by electric utilities for non-interruptible power contracts with Canadian manufacturing, service and industrial customers. Monthly prices are collected from all major generating and distributing utilities three times a year. The resulting indexes are released with other monthly Industry Price Indexes for April, August and December of each year. The indexes have 1997 as a time reference base and the weights used are 1992 company revenues from sales of electricity, as collected by Manufacturing and Energy Division.

The formula used to calculate the Electric Power Selling Price Indexes is a fixed weighted index formulation, which is the same as that described in the explanation of methods used for the Industrial Product Price Indexes, 2002=100. The indexes are available on CANSIM in Table 329-0050. Indexes for the current year and the previous year are subject to revision.

For more information, or to enquire about the concepts, methods or data quality of this release, contact the Client Services (toll-free 1-888-951-4550; 613-951-4550; fax: 613-951-3117; (ppd-info-dpp@statcan.gc.ca), Producer Prices Division.

2010 Canadian Internet Use Survey coefficients of variation table

Coefficients of variation (CV)
Region	HA_Q01	CV
Canada	78.9%	0.42%
Newfoundland and Labrador	74.3%	1.49%
Prince Edward Island	72.9%	1.89%
Nova Scotia	77.1%	1.19%
New Brunswick	70.2%	1.62%
Quebec	72.9%	0.98%
Ontario	81.4%	0.74%
Manitoba	73.5%	1.26%
Saskatchewan	76.3%	1.22%
Alberta	83.4%	0.88%
British Columbia	84.4%	0.98%

Monthly Retail Trade Survey (MRTS) Data Quality Statement

Objectives, uses and users
Concepts, variables and classifications
Coverage and frames
Sampling
Questionnaire design
Response and nonresponse
Data collection and capture operations
Editing
Imputation
Estimation
Revisions and seasonal adjustment
Data quality evaluation
Disclosure control

1. Objectives, uses and users

1.1. Objective

The Monthly Retail Trade Survey (MRTS) provides information on the performance of the retail trade sector on a monthly basis, and when combined with other statistics, represents an important indicator of the state of the Canadian economy.

1.2. Uses

The estimates provide a measure of the health and performance of the retail trade sector. Information collected is used to estimate level and monthly trend for retail sales. At the end of each year, the estimates provide a preliminary look at annual retail sales and performance.

1.3. Users

A variety of organizations, sector associations, and levels of government make use of the information. Retailers rely on the survey results to compare their performance against similar types of businesses, as well as for marketing purposes. Retail associations are able to monitor industry performance and promote their retail industries. Investors can monitor industry growth, which can result in better access to investment capital by retailers. Governments are able to understand the role of retailers in the economy, which aids in the development of policies and tax incentives. As an important industry in the Canadian economy, governments are able to better determine the overall health of the economy through the use of the estimates in the calculation of the nation’s Gross Domestic Product (GDP).

2. Concepts, variables and classifications

2.1. Concepts

The retail trade sector comprises establishments primarily engaged in retailing merchandise, generally without transformation, and rendering services incidental to the sale of merchandise.

The retailing process is the final step in the distribution of merchandise; retailers are therefore organized to sell merchandise in small quantities to the general public. This sector comprises two main types of retailers, that is, store and non-store retailers. The MRTS covers only store retailers. Their main characteristics are described below. Store retailers operate fixed point-of-sale locations, located and designed to attract a high volume of walk-in customers. In general, retail stores have extensive displays of merchandise and use mass-media advertising to attract customers. They typically sell merchandise to the general public for personal or household consumption, but some also serve business and institutional clients. These include establishments such as office supplies stores, computer and software stores, gasoline stations, building material dealers, plumbing supplies stores and electrical supplies stores.

In addition to selling merchandise, some types of store retailers are also engaged in the provision of after-sales services, such as repair and installation. For example, new automobile dealers, electronic and appliance stores and musical instrument and supplies stores often provide repair services, while floor covering stores and window treatment stores often provide installation services. As a general rule, establishments engaged in retailing merchandise and providing after sales services are classified in this sector. Catalogue sales showrooms, gasoline service stations, and mobile home dealers are treated as store retailers.

2.2. Variables

Sales are defined as the sales of all goods purchased for resale, net of returns and discounts. This includes commission revenue and fees earned from selling goods and services on account of others, such as selling lottery tickets, bus tickets, and phone cards. It also includes parts and labour revenue from repair and maintenance; revenue from rental and leasing of goods and equipment; revenues from services, including food services; sales of goods manufactured as a secondary activity; and the proprietor’s withdrawals, at retail, of goods for personal use. Other revenue from rental of real estate, placement fees, operating subsidies, grants, royalties and franchise fees are excluded.

Trading Location is the physical location(s) in which business activity is conducted in each province and territory, and for which sales are credited or recognized in the financial records of the company. For retailers, this would normally be a store.

Constant Dollars: The value of retail trade is measured in two ways; including the effects of price change on sales and net of the effects of price change. The first measure is referred to as retail trade in current dollars and the latter as retail trade in constant dollars. The method of calculating the current dollar estimate is to aggregate the weighted value of sales for all retail outlets. The method of calculating the constant dollar estimate is to first adjust the sales values to a base year, using the Consumer Price Index, and then sum up the resulting values.

2.3. Classification

The Monthly Retail Trade Survey is based on the definition of retail trade under the NAICS (North American Industry Classification System). NAICS is the agreed upon common framework for the production of comparable statistics by the statistical agencies of Canada, Mexico and the United States. The agreement defines the boundaries of twenty sectors. NAICS is based on a production-oriented, or supply based conceptual framework in that establishments are groups into industries according to similarity in production processes used to produce goods and services.

Estimates appear for 21 industries based on special aggregations of the 2007 North American Industry Classification System (NAICS) industries. The 21 industries are further aggregated to 11 sub-sectors.

Geographically, sales estimates are produced for Canada and each province and territory.

3. Coverage and frames

Statistics Canada’s Business Register ( BR) provides the frame for the Monthly Retail Trade Survey. The BR is a structured list of businesses engaged in the production of goods and services in Canada. It is a centrally maintained database containing detailed descriptions of most business entities operating within Canada. The BR includes all incorporated businesses, with or without employees. For unincorporated businesses, the BR includes all employers with businesses, and businesses with no employees with annual sales that have a Goods and Services Tax (GST) or annual revenue that declares individual taxes. annual sales greater than $30,000 that have a Goods and Services Tax (GST) account (the BR does not include unincorporated businesses with no employees and with annual sales less than $30,000).

The businesses on the BR are represented by a hierarchical structure with four levels, with the statistical enterprise at the top, followed by the statistical company, the statistical establishment and the statistical location. An enterprise can be linked to one or more statistical companies, a statistical company can be linked to one or more statistical establishments, and a statistical establishment to one or more statistical locations.

The target population for the MRTS consists of all statistical establishments on the BR that are classified to the retail sector using the North American Industry Classification System (NAICS) (approximately 200,000 establishments). The NAICS code range for the retail sector is 441100 to 453999. A statistical establishment is the production entity or the smallest grouping of production entities which: produces a homogeneous set of goods or services; does not cross provincial boundaries; and provides data on the value of output, together with the cost of principal intermediate inputs used, along with the cost and quantity of labour used to produce the output. The production entity is the physical unit where the business operations are carried out. It must have a civic address and dedicated labour.

The exclusions to the target population are ancillary establishments (producers of services in support of the activity of producing goods and services for the market of more than one establishment within the enterprise, and serves as a cost centre or a discretionary expense centre for which data on all its costs including labour and depreciation can be reported by the business), future establishments, establishments with a missing or a zero gross business income (GBI) value on the BR and establishments in the following non-covered NAICS:

4541 (electronic shopping and mail-order houses)
4542 (vending machine operators)
45431 (fuel dealers)
45439 (other direct selling establishments)

4. Sampling

The MRTS sample consists of 10,000 groups of establishments (clusters) classified to the Retail Trade sector selected from the Statistics Canada Business Register. A cluster of establishments is defined as all establishments belonging to a statistical enterprise that are in the same industrial group and geographical region. The MRTS uses a stratified design with simple random sample selection in each stratum. The stratification is done by industry groups (the mainly, but not only four digit level NAICS), and the geographical regions consisting of the provinces and territories, as well as three provincial sub-regions. We further stratify the population by size.

The size measure is created using a combination of independent survey data and three administrative variables: the annual profiled revenue, the GST sales expressed on an annual basis, and the declared tax revenue (T1 or T2). The size strata consist of one take-all (census), at most, two take-some (partially sampled) strata, and one take-none (non-sampled) stratum. Take-none strata serve to reduce respondent burden by excluding the smaller businesses from the surveyed population. These businesses should represent at most ten percent of total sales. Instead of sending questionnaires to these businesses, the estimates are produced through the use of administrative data.

The sample was allocated optimally in order to reach target coefficients of variation at the national, provincial/territorial, industrial, and industrial groups by province/territory levels. The sample was also inflated to compensate for dead, non-responding, and misclassified units.

MRTS is a repeated survey with maximisation of monthly sample overlap. The sample is kept month after month, and every month new units are added (births) to the sample. MRTS births, i.e., new clusters of establishment(s), are identified every month via the BR’s latest universe. They are stratified according to the same criteria as the initial population. A sample of these births is selected according to the sampling fraction of the stratum to which they belong and is added to the monthly sample. Deaths occur on a monthly basis. A death can be a cluster of establishment(s) that have ceased their activities (out-of-business) or whose major activities are no longer in retail trade (out-of-scope). The status of these businesses is updated on the BR using administrative sources and survey feedback, including feedback from the MRTS. Methods to treat dead units and misclassified units are part of the sample and population update procedures.

5. Questionnaire design

The Monthly Retail Trade Survey incorporates the following sub-surveys:

Monthly Retail Trade Survey - R8

Monthly Retail Trade Survey (with inventories) – R8

Survey of Sales and Inventories of Alcoholic Beverages

The questionnaires collect monthly data on retail sales and the number of trading locations by province or territory and inventories of goods owned and intended for resale from a sample of retailers. The items on the questionnaires have remained unchanged for several years. For the 2004 redesign, the general questionnaires were subject to cosmetic changes only. The questionnaire for Sales and Inventories of Alcoholic Beverages underwent more extensive changes. The modifications were discussed with stakeholders and the respondents were given an opportunity to comment before the new questionnaire was finalized. If further changes are needed to any of the questionnaires, proposed changes would go through a review committee and a field test with respondents and data users to ensure its relevancy.

6. Response and nonresponse

6.1. Response and non-response

Despite the best efforts of survey managers and operations staff to maximize response in the MRTS, some non-response will occur. For statistical establishments to be classified as responding, the degree of partial response (where an accurate response is obtained for only some of the questions asked a respondent) must meet a minimum threshold level below which the response would be rejected and considered a unit nonresponse. In such an instance, the business is classified as not having responded at all.

Non-response has two effects on data: first it introduces bias in estimates when nonrespondents differ from respondents in the characteristics measured; and second, it contributes to an increase in the sampling variance of estimates because the effective sample size is reduced from that originally sought.

The degree to which efforts are made to get a response from a non-respondent is based on budget and time constraints, its impact on the overall quality and the risk of nonresponse bias.

The main method to reduce the impact of non-response at sampling is to inflate the sample size through the use of over-sampling rates that have been determined from similar surveys.

Besides the methods to reduce the impact of non-response at sampling and collection, the non-responses to the survey that do occur are treated through imputation. In order to measure the amount of non-response that occurs each month, various response rates are calculated. For a given reference month, the estimation process is run at least twice (a preliminary and a revised run). Between each run, respondent data can be identified as unusable and imputed values can be corrected through respondent data. As a consequence, response rates are computed following each run of the estimation process.

For the MRTS, two types of rates are calculated (un-weighted and weighted). In order to assess the efficiency of the collection process, un-weighted response rates are calculated. Weighted rates, using the estimation weight and the value for the variable of interest, assess the quality of estimation. Within each of these types of rates, there are distinct rates for units that are surveyed and for units that are only modeled from administrative data that has been extracted from GST files.

To get a better picture of the success of the collection process, two un-weighted rates called the ‘collection results rate’ and the ‘extraction results rate’ are computed. They are computed by dividing the number of respondents by the number of units that we tried to contact or tried to receive extracted data for them. Non-monthly reporters (respondents with special reporting arrangements where they do not report every month but for whom actual data is available in subsequent revisions) are excluded from both the numerator and denominator for the months where no contact is performed.

In summary, the various response rates are calculated as follows:

Weighted rates:

Survey Response rate (estimation) =
Sum of weighted sales of units with response status i / Sum of survey weighted sales

where i = units that have either reported data that will be used in estimation or are converted refusals, or have reported data that has not yet been resolved for estimation.

Admin Response rate (estimation) =
Sum of weighted sales of units with response status ii / Sum of administrative weighted sales

where ii = units that have data that was extracted from administrative files and are usable for estimation.

Total Response rate (estimation) =
Sum of weighted sales of units with response status i or response status ii / Sum of all weighted sales

Un-weighted rates:

Survey Response rate (collection) =
Number of questionnaires with response status iii/ Number of questionnaires with response status iv

where iii = units that have either reported data (unresolved, used or not used for estimation) or are converted refusals.

where iv = all of the above plus units that have refused to respond, units that were not contacted and other types of non-respondent units.

Admin Response rate (extraction) =
Number of questionnaires with response status vi/ Number of questionnaires with response status vii

where vi = in-scope units that have data (either usable or non-usable) that was extracted from administrative files

where vii = all of the above plus units that have refused to report to the administrative data source, units that were not contacted and other types of non-respondent units.

(% of questionnaire collected over all in-scope questionnaires)

Collection Results Rate =
Number of questionnaires with response status iii / Number of questionnaires with response status viii

where iii = same as iii defined above

where viii = same as iv except for the exclusion of units that were contacted because their response is unavailable for a particular month since they are non-monthly reporters.

Extraction Results Rate =
Number of questionnaires with response status ix / Number of questionnaires with response status vii

where ix = same as vi with the addition of extracted units that have been imputed or were out of scope

where vii = same as vii defined above

(% of questionnaires collected over all questionnaire in-scope we tried to collect)

All the above weighted and un-weighted rates are provided at the industrial group, geography and size group level or for any combination of these levels.

Use of Administrative Data

Managing response burden is an ongoing challenge for Statistics Canada. In an attempt to alleviate response burden and survey costs, especially for smaller businesses, the MRTS has reduced the number of simple establishments in the sample that are surveyed directly and instead derives sales data for these establishments from Goods and Service Tax (GST) files using a statistical model. The model accounts for differences between sales and revenue (reported for GST purposes) as well as for the time lag between the survey reference period and the reference period of the GST file.

For more information on the methodology used for modeling sales from administrative data sources, refer to ‘Monthly Retail Trade Survey: Use of Administrative Data’ under ‘Documentation’ of the IMDB.

Table 1 contains the weighted response rates for all industry groups as well as for total retail trade for each province and territory. For more detailed weighted response rates, please contact the Marketing and Dissemination Section at (613) 951-3549, toll free: 1-877-421-3067 or by e-mail at retailinfo@statcan.

6.2. Methods used to reduce non-response at collection

Significant effort is spent trying to minimize non-response during collection. Methods used, among others, are interviewer techniques such as probing and persuasion, repeated re-scheduling and call-backs to obtain the information, and procedures dealing with how to handle non-compliant (refusal) respondents.

If data are unavailable at the time of collection, a respondent's best estimates are also accepted, and are subsequently revised once the actual data become available.

To minimize total non-response for all variables, partial responses are accepted. In addition, questionnaires are customized for the collection of certain variables, such as inventory, so that collection is timed for those months when the data are available.

Finally, to build trust and rapport between the interviewers and respondents, cases are generally assigned to the same interviewer each month. This action establishes a personal relationship between interviewer and respondent, and builds respondent trust.

7. Data collection and capture operations

Collection of the data is performed by Statistics Canada’s Regional Offices.

Table 1
Weighted response rates by NAICS, for all provinces/territories: March 2011
	Total	Survey	Administrative
	Weighted Response Rates
NAICS - Canada
Motor Vehicle and Parts Dealers	93.7	94.6	51.8
Automobile Dealers	95.7	96.1	55.9
New Car Dealers	96.9	96.9
Used Car Dealers	76.2	79.9	55.9
Other Motor Vehicle Dealers	68.9	70.5	60.1
Automotive Parts, Accessories and Tire Stores	82.1	87.9	34.4
Furniture and Home Furnishings Stores	81.4	87.5	23.5
Furniture Stores	87.6	90.3	23.6
Home Furnishings Stores	70.9	82.2	23.4
Electronics and Appliance Stores	89.7	91.1	69
Building Material and Garden Equipment Dealers	82.9	88.3	35
Food and Beverage Stores	79.1	85.7	13.8
Grocery Stores	80.5	88	11.7
Grocery (except Convenience) Stores	82.4	89.7	11.3
Convenience Stores	56	64.4	14
Specialty Food Stores	70.3	79.8	32.6
Beer, Wine and Liquor Stores	74.8	76.6	15.5
Health and Personal Care Stores	89.7	91.6	70.9
Gasoline Stations	84.1	86.3	43.6
Clothing and Clothing Accessories Stores	83.7	85.5	43.2
Clothing Stores	82.6	84.2	45.5
Shoe Stores	92.5	94.1	35
Jewellery, Luggage and Leather Goods Stores	82.2	86.7	37.8
Sporting Goods, Hobby, Book and Music Stores	85.8	91.2	44.2
General Merchandise Stores	99	99.6	6.5
Department Stores	100	100
Other general merchadise stores	98	99.2	6.5
Miscellaneous Store Retailers	84.7	90.4	33
Total	87.6	90.8	34.4
Regions
Newfoundland and Labrador	88.2	89.8	19.3
Prince Edward Island	88.9	90	13.1
Nova Scotia	91.3	93.4	35.6
New Brunswick	82.9	86.6	35.1
Qubec	86.3	91.5	24.8
Ontario	88.7	91.6	37.4
Manitoba	87.8	89	38
Saskatchewan	86.3	88.2	37.1
Alberta	86.5	88.8	45.9
British Columbia	88.4	91.2	37.2
Yukon Territory	83.2	83.2
Northwest Territories	89.5	89.5
Nunavut	80.5	80.5
1 There are no administrative records used in new car dealers

Weighted Response Rates

Respondents are sent a questionnaire or are contacted by telephone to obtain their sales and inventory values, as well as to confirm the opening or closing of business trading locations. Collection of the data begins approximately 7 working days after the end of the reference month and continues for the duration of that month.

New entrants to the survey are introduced to the survey via an introductory letter that informs the respondent that a representative of Statistics Canada will be calling. This call is to introduce the respondent to the survey, confirm the respondent's business activity, establish and begin data collection, as well as to answer any questions that the respondent may have.

8. Editing

Data editing is the application of checks to detect missing, invalid or inconsistent entries or to point to data records that are potentially in error. In the survey process for the MRTS, data editing is done at two different time periods.

First of all, editing is done during data collection. Once data are collected via the telephone, or via the receipt of completed mail-in questionnaires, the data are captured using customized data capture applications. All data are subjected to data editing. Edits during data collection are referred to as field edits and generally consist of validity and some simple consistency edits. They are used to detect mistakes made during the interview by the respondent or the interviewer and to identify missing information during collection in order to reduce the need for follow-up later on. Another purpose of the field edits is to clean up responses. In the MRTS, the current month’s responses are edited against the respondent’s previous month’s responses and/or the previous year’s responses for the current month. Field edits are also used to identify problems with data collection procedures and the design of the questionnaire, as well as the need for more interviewer training.

Follow-up with respondents occurs to validate potential erroneous data following any failed preliminary edit check of the data. Once validated, the collected data is regularly transmitted to the head office in Ottawa.

Secondly, editing known as statistical editing is also done after data collection and this is more empirical in nature. Statistical editing is run prior to imputation in order to identify the data that will be used as a basis to impute non-respondents. Large outliers that could disrupt a monthly trend are excluded from trend calculations by the statistical edits. It should be noted that adjustments are not made at this stage to correct the reported outliers.

The first step in the statistical editing is to identify which responses will be subjected to the statistical edit rules. Reported data for the current reference month will go through various edit checks.

The first set of edit checks is based on the Hidiriglou-Berthelot method whereby a ratio of the respondent’s current month data over historical (last month, same month last year) or auxiliary data is analyzed. When the respondent’s ratio differs significantly from ratios of respondents who are similar in terms of industry and/or geography group, the response is deemed an outlier.

The second set of edits consists of an edit known as the share of market edit. With this method, one is able to edit all respondents, even those where historical and auxiliary data is unavailable. The method relies on current month data only. Therefore, within a group of respondents, that are similar in terms of industrial group and/or geography, if the weighted contribution of a respondent to the group’s total is too large, it will be flagged as an outlier.

For edit checks based on the Hidiriglou-Berthelot method, data that are flagged as an outlier will not be included in the imputation models (those based on ratios). Also, data that are flagged as outliers in the share of market edit will not be included in the imputation models where means and medians are calculated to impute for responses that have no historical responses.

In conjunction with the statistical editing after data collection of reported data, there is also error detection done on the extracted GST data. Modeled data based on the GST are also subject to an extensive series of processing steps which thoroughly verify each record that is the basis for the model as well as the record being modeled. Edits are performed at a more aggregate level (industry by geography level) to detect records which deviate from the expected range, either by exhibiting large month-to-month change, or differing significantly from the remaining units. All data which fail these edits are subject to manual inspection and possible corrective action.

9. Imputation

Imputation in the MRTS is the process used to assign replacement values for missing data. This is done by assigning values when they are missing on the record being edited to ensure that estimates are of high quality and that a plausible, internal consistency is created. Due to concerns of response burden, cost and timeliness, it is generally impossible to do all follow-ups with the respondents in order to resolve missing responses. Since it is desirable to produce a complete and consistent microdata file, imputation is used to handle the remaining missing cases.

In the MRTS, imputation is based on historical data or administrative data (GST sales). The appropriate method is selected according to a strategy that is based on whether historical data is available, auxiliary data is available and/or which reference month is being processed.

There are three types of historical imputation methods. The first type is a general trend that uses one historical data source (previous month, data from next month or data from same month previous year). The second type is a regression model where data from previous month and same month previous year are used simultaneously. The third type uses the historical data as a direct replacement value for a non-respondent. Depending upon the particular reference month, there is an order of preference that exists so that top quality imputation can result. The historical imputation method that was labelled as the third type above is always the last option in the order for each reference month.

The imputation methods using administrative data are automatically selected when historical information is unavailable for a non-respondent. The administrative data source (annual GST sales) is the basis of these methods. The annual GST sales are used for two types of methods. One is a general trend that will be used for simple structure, e.g. enterprises with only one establishment, and a second type is called median-average that is used for units with a more complex structure.

10. Estimation

Estimation is a process that approximates unknown population parameters using only part of the population that is included in a sample. Inferences about these unknown parameters are then made, using the sample data and associated survey design. This stage uses Statistics Canada's Generalized Estimation System (GES).

For retail sales, the population is divided into a survey portion (take-all and take-some strata) and a non-survey portion (take-none stratum). From the sample that is drawn from the survey portion, an estimate for the population is determined through the use of a Horvitz-Thompson estimator where responses for sales are weighted by using the inverses of the inclusion probabilities of the sampled units. Such weights (called sampling weights) can be interpreted as the number of times that each sampled unit should be replicated to represent the entire population. The calculated weighted sales values are summed by domain, to produce the total sales estimates by each industrial group / geographic area combination. A domain is defined as the most recent classification values available from the BR for the unit and the survey reference period. These domains may differ from the original sampling strata because units may have changed size, industry or location. Changes in classification are reflected immediately in the estimates and do not accumulate over time. For the non-survey portion, the sales are estimated with statistical models using monthly GST sales.

For more information on the methodology for modeling sales from administrative data sources which also contributes to the estimates of the survey portion, refer to ‘Monthly Retail Survey: Use of Administrative Data’ under ‘Documentation’ of the IMDB.

The measure of precision used for the MRTS to evaluate the quality of a population parameter estimate and to obtain valid inferences is the variance. The variance from the survey portion is derived directly from a stratified simple random sample without replacement.

Sample estimates may differ from the expected value of the estimates. However, since the estimate is based on a probability sample, the variability of the sample estimate with respect to its expected value can be measured. The variance of an estimate is a measure of the precision of the sample estimate and is defined as the average, over all possible samples, of the squared difference of the estimate from its expected value.

11. Revisions and seasonal adjustment

Revisions in the raw data are required to correct known non-sampling errors. These normally include replacing imputed data with reported data, corrections to previously reported data, and estimates for new births that were not known at the time of the original estimates. Raw data are revised, on a monthly basis, for the month immediately prior to the current reference month being published. That is, when data for December are being published for the first time, there will also be revisions, if necessary, to the raw data for November. In addition, revisions are made once a year, with the initial release of the February data, for all months in the previous year. The purpose is to correct any significant problems that have been found that apply for an extended period. The actual period of revision depends on the nature of the problem identified, but rarely exceeds three years. Time series contain the elements essential to the description, explanation and forecasting of the behaviour of an economic phenomenon: "They are statistical records of the evolution of economic processes through time."¹ Economic time series such as the Monthly Retail Trade Survey can be broken down into five main components: the trend-cycle, seasonality, the trading-day effect, the Easter holiday effect and the irregular component.

The trend represents the long-term change in the series, whereas the cycle represents a smooth, quasi-periodical movement about the trend, showing a succession of growth and decline phases (e.g., the business cycle). These two components—the trend and the cycle—are estimated together, and the trend-cycle reflects the fundamental evolution of the series. The other components reflect short-term transient movements.

The seasonal component represents sub-annual, monthly or quarterly fluctuations that recur more or less regularly from one year to the next. Seasonal variations are caused by the direct and indirect effects of the climatic seasons and institutional factors (attributable to social conventions or administrative rules; e.g., Christmas).

The trading-day component originates from the fact that the relative importance of the days varies systematically within the week and that the number of each day of the week in a given month varies from year to year. This effect is present when activity varies with the day of the week. For instance, Sunday is typically less active than the other days, and the number of Sundays, Mondays, etc., in a given month changes from year to year.

The Easter holiday effect is the variation due to the shift of part of April’s activity to March when Easter falls in March rather than April.

Lastly, the irregular component includes all other more or less erratic fluctuations not taken into account in the preceding components. It is a residual that includes errors of measurement on the 1. A Note on the Seasonal adjustment of Economic Time Series», Canadian Statistical Review, August 1974. A variable itself as well as unusual events (e.g., strikes, drought, floods, major power blackout or other unexpected events causing variations in respondents’ activities).

Thus, the latter four components—seasonal, irregular, trading-day and Easter holiday effect—all conceal the fundamental trend-cycle component of the series. Seasonal adjustment (correction of seasonal variation) consists in removing the seasonal, trading-day and Easter holiday effect components from the series, and it thus helps reveal the trend-cycle. While seasonal adjustment permits a better understanding of the underlying trend-cycle of a series, the seasonally adjusted series still contains an irregular component. Slight month-to-month variations in the seasonally adjusted series may be simple irregular movements. To get a better idea of the underlying trend, users should examine several months of the seasonally adjusted series.

Since April 2008, Monthly Retail Trade Survey data are seasonally adjusted using the X-12- ARIMA2 software. The technique that is used essentially consists of first correcting the initial series for all sorts of undesirable effects, such as the trading-day and the Easter holiday effects, by a module called regARIMA. These effects are estimated using regression models with ARIMA errors (auto-regressive integrated moving average models). The series can also be extrapolated for at least one year by using the model. Subsequently, the raw series—pre-adjusted and extrapolated if applicable— is seasonally adjusted by the X-11 method.

The X-11 method is used for analysing monthly and quarterly series. It is based on an iterative principle applied in estimating the different components, with estimation being done at each stage using adequate moving averages3. The moving averages used to estimate the main components—the trend and seasonality—are primarily smoothing tools designed to eliminate an undesirable component from the series. Since moving averages react poorly to the presence of atypical values, the X-11 method includes a tool for detecting and correcting atypical points. This tool is used to clean up the series during the seasonal adjustment. Outlying data points can also be detected and corrected in advance, within the regARIMA module.

Lastly, the annual totals of the seasonally adjusted series are forced to the annual totals of the original series.

Unfortunately, seasonal adjustment removes the sub-annual additivity of a system of series; small discrepancies can be observed between the sum of seasonally adjusted series and the direct seasonal adjustment of their total. To insure or restore additivity in a system of series, a reconciliation process is applied or indirect seasonal adjustment is used, i.e. the seasonal adjustment of a total is derived by the summation of the individually seasonally adjusted series.

12. Data quality evaluation

The methodology of this survey has been designed to control errors and to reduce their potential effects on estimates. However, the survey results remain subject to errors, of which sampling error is only one component of the total survey error. Sampling error results when observations are made only on a sample and not on the entire population. All other errors arising from the various phases of a survey are referred to as nonsampling errors. For example, these types of errors can occur when a respondent provides incorrect information or does not answer certain questions; when a unit in the target population is omitted or covered more than once; when GST data for records being modeled for a particular month are not representative of the actual record for various reasons; when a unit that is out of scope for the survey is included by mistake or when errors occur in data processing, such as coding or capture errors.

Prior to publication, combined survey results are analyzed for comparability; in general, this includes a detailed review of individual responses (especially for large businesses), general economic conditions and historical trends.

A common measure of data quality for surveys is the coefficient of variation (CV). The coefficient of variation, defined as the standard error divided by the sample estimate, is a measure of precision in relative terms. Since the coefficient of variation is calculated from responses of individual units, it also measures some non-sampling errors.

The formula used to calculate coefficients of variation (CV) as percentages is:

CV (X) = S(X) * 100% / X
where X denotes the estimate and S(X) denotes the standard error of X.

Confidence intervals can be constructed around the estimates using the estimate and the CV. Thus, for our sample, it is possible to state with a given level of confidence that the expected value will fall within the confidence interval constructed around the estimate. For example, if an estimate of $12,000,000 has a CV of 2%, the standard error will be $240,000 (the estimate multiplied by the CV). It can be stated with 68% confidence that the expected values will fall within the interval whose length equals the standard deviation about the estimate, i.e. between $11,760,000 and $12,240,000.

Alternatively, it can be stated with 95% confidence that the expected value will fall within the interval whose length equals two standard deviations about the estimate, i.e. between $11,520,000 and $12,480,000.

Finally, due to the small contribution of the non-survey portion to the total estimates, bias in the non-survey portion has a negligible impact on the CVs. Therefore, the CV from the survey portion is used for the total estimate that is the summation of estimates from the surveyed and non-surveyed portions.

13. Disclosure control

Statistics Canada is prohibited by law from releasing any data which would divulge information obtained under the Statistics Act that relates to any identifiable person, business or organization without the prior knowledge or the consent in writing of that person, business or organization. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

Confidentiality analysis includes the detection of possible "direct disclosure", which occurs when the value in a tabulation cell is composed of a few respondents or when the cell is dominated by a few companies.

Questionnaire
Fiscal Year 2008-2009

Information for Respondents

Confidentiality
Confidential when completed

Authority
Collected under the authority of the Statistics Act, Revised Statutes of Canada, 1985, Chapter S19.

Corrections Program Contact:
Survey manager
Telephone number: (613) 951-9123 or toll-free 1-800-387-2231
Fax: (613) 951-6615
E-mail: ccjsccsj@statcan.gc.ca

Part I
Government Operated Adult Custodial Services

Question 1: How many government operated adult custodial facilities were in operation during the year? Please indicate number for each of the following.

Number in operation at the beginning of the year (i.e. April 1, 2008)
New facilities opened during 2008/2009 (Indicate Name, Date Opened)
Facilities permanently closed during 2008/2009 (Indicate Name, Date Closed)
Number in operation at year-end (i.e. March 31st, 2009).

Core Definition(s):

Fiscal Year - April 1, 2008 to March 31, 2009
Government Facility - Refers to all custodial facilities run by the government agency responsible for corrections in your jurisdiction. These facilities are distinguishable from private correctional facilities in that they are operated by government employees rather than employees from the private sectors. All facilities that are considered administratively distinct should be counted separately. For example, if a facility has affiliates or satellites which are administered centrally only the base facility should be counted.
Many terms are used by the jurisdictions when referring to custodial facilities. Examples are: jails, correctional institutions, community residential centres, community correctional centres, detention centres, reformatories, training centres, remand centres, and camps. The meaning of these terms can vary among jurisdictions.

Deviation(s) from core definition(s)/comment(s):

Question 2: What was the security level of government-operated adult custodial facilities in operation at year-end? (Specify number for each of the following security levels)

Secure facilities (maximum and medium)
Open facilities (minimum)
Multilevel (secure and open)
Other(s), specify:
Total facilities in operation at year-end (i.e., March 31, 2009)

Core Definition(s):

Government Facility - See Question 1.
Security Level - Provincial and territorial correctional facilities are classified as either secure, open or having a multilevel setting (secure and open). A facility is considered secure when inmates are detained by security devices, including those which operate with full perimeter security features and/or whose inmates are under constant supervision or observation. A facility classified as open denotes the minimal use of security devices or perimeter security and/or where supervision of inmates is only partial. Work camps and community-based correctional facilities are often considered to have an open security level. If the security level of an affiliated facility differs from that of the base facility, the security level of the base facility should be reported.

Deviation(s) from core definition(s)/comment(s):

Question 3: What were the operational and special purpose capacities provided by all government-operated adult custodial facilities in operation at year-end? (Indicate the number of bed-spaces for each type of capacity)

Operational Capacity:
Total operational capacity at year-end (i.e. bed-spaces)
Special Purpose Capacity:
- Medical
- Segregation
- Protective custody
- Other(s), specify:
Total special purpose capacity at year-end (i.e. bed-spaces)
Total institutional capacity (bed-spaces) at year-end

Are special capacity bed-spaces included in the total operating capacity total?

Core Definition(s):

Government Facility - See Question 1.
Capacity - Note that standards used to assign capacity figures vary across jurisdictions, and that the use of bed-space for special or normal purposes is flexible, depending on operational need. Also note that capacity figures may vary over the course of the year through the restructuring of available bed-space, therefore, capacity at year-end should be reported.
Under Operational, the number of inmates the facility is designed to hold under normal circumstances is reported. Under Special, the designated capacity for special purpose usage such as sickness, discipline, protective custody, or segregation is reported. If a distinction between Operational and Special is not available, total capacity only should be reported.

Deviation(s) from core definition(s)/comment(s):

Question 4: As well as sentenced/remanded adult (and on occasion young offenders) indicate if any of the following categories of offenders are also detained in your facilities? (Select all that apply).

Inmates in temporary detention (i.e. lock-up)
Immigration
Federal inmates
Parolees/mandatory suspended offenders
Lieutenant-Governor's Warrant
Other, specify:

Core Definition(s):

Government Facility - See Question 1.

Deviation(s) from core definition(s)/comment(s):

Question 5:
This question was deleted.

Question 6:
This question was deleted.

Question 7: How many TA applications were processed during the year? What were the reasons for granting the TA's and how many were successfully completed? (For each of the following categories, please specify the number of permits and the number of inmates)

Number granted
Number successfully completed
Number denied
Total applications for temporary absence

Core Definition(s):

Temporary Absence - Refers to a conditional release from a correctional facility prison which allows an offender to serve a portion of his/her sentence in the community with or without an escort. Temporary absence programs have evolved in accordance with the operational requirements and program philosophy of individual jurisdictions. As a result, there are significant differences among jurisdictions in the extent to which the program is utilized, as well as the policies and procedures governing its operation.

Deviation(s) from core definition(s)/comment(s):

Question 8: How many inmates were unlawfully at large during the year? (Specify the number for each types of escape)

From a secure institution (i.e. breach of security barrier)
From an open facility (i.e. walkaway-no breach of security barrier)
From an escorted temporary absence
From an unescorted temporary absence
Other(s), specify:
Total

Core Definition(s):

Temporary Absence - See Question 7
Type of Escape - The Criminal Code defines an escape as breaking prison, escaping from lawful custody or being at large before the expiration of a term of imprisonment.

Deviation(s) from core definition(s)/comment(s):

Question 9: How many admissions by Inmate Status to government-operated adult custodial facilities were processed during the year and what was the reason for admission? Please indicate for each of the following types of admissions: Admissions including transfers within jurisdiction, Admissions excluding transfers within jurisdiction.

Warrant of Committal (include change of status from any status)
Warrant of Remand (include change of status from temporary detention)
Temporary Detention (i.e. lock-up, other holdings)
Total

Core Definition(s):

Admissions - Refer to all processed entries into the correctional system.
- Admissions Including Transfers - Refers to all offender movement both in and between facilities. All arrivals which result in the completion of an admission document should be included, however, inmates released for purposes other than transfer (e.g. to attend court, temporary absence, etc.) should not be included. Similarly, inmates transferred to camps which are considered as part of a base facility should not be counted.
- Admissions Excluding Transfers - Refers to all admissions excluding transfers within the same jurisdiction. Transfers between jurisdictions should be counted as new sentenced admissions.
Inmate Status:
- Warrant of Committal - Refers to all inmates admitted to custody under sentence during the reporting period, regardless of the initial status on admission to custody. All new entries accompanied by a Warrant of Committal to serve a sentence should be counted only as a sentenced admission. Inmates returning from conditional release should also be counted as sentenced admissions. Inmates in custody prior to the year under study should not be carried over from year to year.
- Warrant of Remand - Persons not sentenced during their stay should be counted as remand or lock-up admissions. Remand admissions include persons who entered custody under a Warrant of Remand, and persons who were issued a Warrant of Remand while under temporary detention.
- Temporary Detention - Refers to inmates under police lock-ups (not applicable in all jurisdictions) and to inmates held for other reasons.

Deviation(s) from core definition(s)/comment(s):

Question 10: What was the gender of persons with a custody admission to adult facilities during the year? (Please specify gender for each of the following types of Status on Admission: Sentenced, Remand, Other, Total)

Male
Female
Not Stated
Total offender admissions

Core Definition(s):

Admissions (Excluding Transfers) - See Question 9.
Status on Admission - See Question 9.
Gender - Gender of the person as indicated on admission document.

Deviation(s) from core definition(s)/comment(s):

Question 11: What was the ethnic origin of persons with a custody admission to adult facilities during the year? (Please specify gender: Male, Female, Not Stated, Total and type of ethnicity: Aboriginal, Non-Aboriginal, Not Stated, Total for each of the following types of Status on Admission)

Sentenced
Remand
Other Temporary Detention

Core Definition(s):

Admissions (Excluding Transfers) - See Question 9.
Status on Admission - See Question 9.
Ethnicity - Aboriginal Native refers to all North American Indians, Metis, Eskimos, Inuit; treaty and non-treaty Indians; status and non-status Indians.

Deviation(s) from core definition(s)/comment(s):

Question 12: What was the age of persons with a custody admission to an adult facility during the year? Please use categories provided below, otherwise give most detailed breakdown available. Specify gender (Male, Female, Not Stated, Total) for each of the types of Status on Admission: Sentenced, Remand, Other for the following age categories:

Age of person with custody admission:

<16
16
17
18
19
20
21
22
23
24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 and over
Not Stated
Total offender admissions

Mean age (based on micro data)
Median age (based on micro data)

Core Definition(s):

Admissions (Excluding transfers) - See Question 9
Status on Admission - See Question 9
Age - Refers to age of offenders on admission to custody, calculated either from the date of birth or as self-reported.

Deviation(s) from core definition(s)/comment(s):

Question 13: What type of offences were committed by persons (by gender: Male, Female, Not Stated, Total) admitted under a custody sentence?
Criminal Code

Against the person (i.e. murder, attempted murder, sexual offences, wounding, etc.)
Against the property (i.e. break/enter, theft, etc.)
Impaired Driving
Other Criminal Code

Federal Statutes

Drug offences
Other federal statutes

Provincial Statutes

Liquor offences
Other provincial statutes

Municipal By-Laws
Not Stated
Total

Unit of Count: (check off those that apply)

Most serious offence
Most serious disposition
Multiple charges
Other, specify:

Core Definition(s):

Inmate Status on Admission - See Question 9.
Offence(s): (i.e. C.C., Fed. Stat., Prov. Stat., Mun. By-Law) - Please provide as much information as possible on offence(s) at time of admission and indicate the unit of count (i.e. most serious offence, multiple charges, most serious disposition, etc.).

Deviation(s) from core definition(s)/comment(s):

Question 14: How many of the (sentenced) offenders admitted during the year had served a jail or prison sentence previously? Answer Yes, No, unknown (with a number) for previous Incarcerations, for each of the following:

Male
Female
Not Stated
Total

Core Definition(s):

Gender - See Question 10
Previous Incarceration - This question is purposely stated at a general level and does not only refer to previous incarceration(s) in your province/territory. It simply asks about any previous incarceral sentences (provincial or federal) of which you may be aware.
Detention in police holding/lock-up facilities (e.g., held in police custody – awaiting initial court appearance - prior to entering an institution in your province/territory as a remand admission) does not count as a previous jail or prison sentence.

Deviation(s) from core definition(s)/comment(s):

Question 15: A) How many fine defaulters were admitted during the year? B) How many admissions were there during the year for intermittent sentences? (Indicate number for each of the following categories).

Male
Female
Not Stated
Total

Core Definition(s):

Admissions (excluding transfers) - See Question 9.
Fine Default Admissions - As a selected category of sentenced admissions this term refers to the number of persons admitted to custody who, if their original sentence of fine had been paid, would not be in custody.
Intermittent Sentence - Refers to a sentence to custody which is to be served periodically over an extended period of time (i.e. weekend only or selected days of the week).
Gender - See Question 10.

Deviation(s) from core definition(s)/comment(s):

Question 16: For those offenders admitted under sentence during the year, what was their aggregate sentence length? Please indicate number (admissions) by sex (Male, Female, Not stated, Total). If your data are not compatible with the categories below, please provide the most detailed sentence length breakdown possible.
Aggregate Sentence:

1 to 7 days
8 to 14 days
15 to 29 days
30 to 31 days (1 month)
32 to 89 days
90 to 92 days (3 months)
93 to 179 days
180 to 184 (6 months)
185 to 364 days
365 to 366 days (1 year)
367 to 729 days (2 yrs less one day)
730 days and over (2 years or more)
Not stated
Total sentenced admissions (excluding transfers)

Mean sentence length - excluding sentences of 2 years and more (based on micro data)
Median sentence length - excluding sentences of 2 years and more (based on micro data)

Core Definition(s):

Aggregate Sentence - Refers to the length of time in days, months or years to be served in custody as specified in the court order.
Aggregate sentence length is not equivalent to time served in custody - the effect of remission and conditional release such as parole result in smaller amounts of time served when compared to the original sentence length.
For multiple sentences, count the longest sentence if concurrent.
If consecutive, then report the sum of the consecutive sentences. In the case of a revocation from conditional release, the amount of time to be served is the remnant of the original aggregate sentence if an additional offence has not been committed.
Gender - See Question 10

Deviation(s) from core definition(s)/comment(s):

Question 17: For those offenders released during the year, how much time was served in custody prior to release? What was their inmate status upon release? (Indicate Inmate Status on Release: Sentenced, Remand, Other temporary detention, by gender (Male, Female, Not Stated, Total) for each of the following lengths of time served. If your data are not compatible with the categories below, please provide the most detailed sentence length breakdown possible.

Time Served:

1 to 7 days
8 to 14 days
15 to 29 days
30 to 31 days (1 month)
32 to 89 days
90 to 92 days (3 months)
93 to 179 days
180 to 184 (6 months)
185 to 364 days
365 to 366 (1 year)
367 to 729 days
730 days and over (2 years or more)
Not stated
Total releases (excluding transfers out)

Mean time served (based on micro data)
Median time served (based on micro data)

Core Definition(s):

Inmate Status on Release- Refers to a status at time of discharge. If an inmate returns to court and is re-admitted under a new status and subsequently released from custody during the year, count two releases and indicate the amount of time spent under each status.
Time Served - Refers to the total length of time, measured in days, months or years actually served by each discharge from custody. All releases, excluding transfers, are to be included.
Total Releases - Refers to all types of release except transfers out.

Deviation(s) from core definition(s)/comment(s):

Question 18: How many offenders died during the year and what were the reasons for their death? (Indicate the number of Inmate Deaths for each of the following categories: In custody, Not in custody but on-register, Total on-register)

Suicide
Murder
Accidental
Legal intervention (i.e. killed by authorities while committing an offence, i.e. hostage taking incident, escape, etc.)
Natural Causes
Other
Not Stated
Total offender deaths

Core Definition(s):

Inmate Death - Refers to all inmate deaths which occurred both within the confines of a correctional facility as well as those offenders who were on the institutional registers but were not in custody at the time of death.

Deviation(s) from core definition(s)/comment(s):

Part II
Privately Operated Adult Custodial Services

Question 19: Does your jurisdiction utilise privately operated facilities to house offenders? Check all that apply.

To serve a custodial sentence:

Prior to release from provincial custody:

Temporary Absence
Day Parole
Other, specify:

Upon release from provincial custody:

Full Parole
Probation
Other, specify:

For other reasons:

Treatment (i.e. alcohol/drug)
Other, specify:

No, do not complete Part II questionnaire.

Core Definition(s):

Private Facility - Refers to all facilities operated by employees from the private sector under a contractual agreement with the provincial government or federal/provincial governments combined. Private facilities provide a wide range of services across jurisdictions. For example, they may house: short-term sentenced offenders; inmates released on a temporary absence, day parole or full parole; or offenders in need of special treatment, etc.

Deviation(s) from core definition(s)/comment(s):

Question 20:
A) How many privately operated facilities were utilised by your jurisdiction during the year? Please give a brief description of the services provided.

Total number of facilities in operation at year-end (i.e. March 31st, 2009)
Are these facilities included in the total facilities reported in Question 1 (Part 1)?

Total number of bed-spaces reserved for provincial offenders in privately-operated facilities
Are these bed-spaces included in the total bed-spaces reported in Question 3 (Part 1)

B) What was the security level of privately-operated adult custodial facilities in operation at year-end? (Please answer with a number for each of the following categories)

Security Level:

Secure facilities (maximum and medium)
Open facilities (minimum)
Multilevel (secure and open)
Other(s), specify:

Total facilities in operation at year-end (i.e. March 31, 2009)

C) Did these facilities also provide accommodation for federal offenders?

Total number of contractual agreements:
Brief description of services provided:

Core Definition(s):

Private Facility - See question 19.

Deviation(s) from core definition(s)/comment(s):

Question 21: What was the average number (i.e. average count) of provincial offenders detained in privately operated custodial facilities during the year?

Average Count (number)

Select one of the following:

365 time points were used in the calculation.
__ time points were used in the calculation. (indicate number)

Are these counts included in the custodial average counts reported in Question 5 (Part I)?

Core Definition(s):

Private Facility - See Question 19.
Average Count - Average counts should be derived from daily-midnight counts and refer to the number of offenders physically inside the facility at the time the count is taken. If daily counts are not available, use the most frequent time interval available and indicate the number of points used.

Deviation(s) from core definition(s)/comment(s):

Question 22: How many provincial offenders were admitted to privately operated facilities during the year? (Indicate number of offenders and specify type of admission)

Total Number of Admissions:

Are these admissions included in the custodial admission numbers reported in Question 9 (Part I)?

Core Definition(s):

Private Facility - See question 19.
Admissions to Private Facility - Include all types of admissions. Please provide the most detailed listing available for all types of admissions.

Deviation(s) from core definition(s)/comment(s):

Part III
Adult Non-Custodial Services

Question 23: Were non-custodial supervisory services provided through contracted agencies at any time during the year? (Check those that apply)

No
Yes - briefly explain the extent to which contracted services were utilized (e.g. caseload, etc.):
- Average caseload
- Select one of the following:
  - 365 time points were used in the calculation.
  - Number of time points used in the calculation. (indicate number)

Core Definition(s):

Contracted Agency - Refers to all agencies operated by employees from the private sector under a contracted agreement with the provincial government or federal and provincial governments combined.
Average Caseload - The average caseload should be derived from daily counts of offenders under supervision; however, if daily counts are not available, use the shortest time interval available (i.e., week, month) or an estimate, and indicate the method of count used.

Deviation(s) from core definition(s)/comment(s):

Question 24: How many probation/parole offices were in operation during the year? (Indicate the name, date opened and date closed for each office)

Probation/Parole Office(s):

Number in operation at the beginning of the year (i.e. April 1, 2008)
New offices opened during 2008/2009 (Indicate Name, Date Opened)
Offices permanently closed during 2008/2009 (Indicate Name, Date Closed)
Number in operation at year-end (i.e. March 31st, 2009)

Core Definition(s):

Fiscal Year - April 1, 2008 to March 31, 2009.
Probation/Parole Office - Refers to facilities operated by the provincial government agency responsible for the delivery of adult community supervisory services in your jurisdiction and staffed by government employees.

Deviation(s) from core definition(s)/comment(s):

Question 25: Which client populations are supervised by probation/parole officers in your jurisdiction? (Please check all that apply)

Inmates temporarily released from custody (i.e., temporary absence, day parole)
Probation
Conditional sentence
Full parole
Federal offenders released on parole or statutory release
Other, specify:

Core Definition(s):

Probation/Parole Office - See Question 24
Population Supervised
- Inmates temporarily released from custody - Refers to those inmates who have been temporarily released from custody for various reasons, on day parole or a temporary absence.
- Probation - Refers to a type of court disposition imposed on an individual which is served in the community and under conditions of supervision. A probation order may be given in conjunction with a suspended sentence, a conditional discharge, a fine or in conjunction with a jail sentence.
- Conditional sentence – Refers to a new type of community-based alternative to imprisonment as stated in the Sentencing reform Bill (C-41). If certain legal criteria are fulfilled, a judge may sentence to a conditional term of imprisonment an offender who would otherwise have been sent to prison. According to the terms of the conditional sentence, the offender will serve the term of imprisonment in the community provided that he/she abides by conditions imposed by the court as part of the conditional sentence order. If the offender violates these conditions, he/she may be sent to prison to serve the balance of that sentence.
- Full Parole - A form of conditional release from custody whereby an inmate who is considered eligible may be released, at a time considered appropriate by a parole board, to serve the balance of a sentence under supervision in the community subject to stated conditions.
- Statutory Release - Statutory release allows most federally sentenced offenders who have not been granted parole to serve the final third of their sentences in the community under supervision and under conditions of release like those imposed on offenders released on full parole.

Deviation(s) from core definition(s)/comment(s):

Question 26:
This question was deleted

Question 27: How many clients were admitted to community supervision during the year and what was their status?

Population Supervised

Inmates temporarily released from custody (e.g. day parole)
Probation
Conditional Sentence
Fine Option Program
Community Service Orders
Full Parole*
Other(s), specify:
Total admissions

*Includes about ___ federal inmates released to full parole and mandatory supervision and supervised by a provincial officer.

Core Definition(s):

Population Supervised - See Question 25.
Admission/Intake to Community Supervision - Total number of processed entries to community supervision during the year should be included, regardless of degree of supervision. Inmates released from provincial facilities to parole under the supervision of a federal officer should not be counted as parole admissions. Cases carried over from the previous year should also be excluded.
Fine Option Program - This program provides work service as an alternative to payment of a fine.
Community Service Orders - A sentencing alternative/option, granted as a condition to a probation order, which requires offenders to perform community services for an individual or non-profit organizations.

Deviation(s) from core definition(s)/comment(s):

Question 28: What was the gender of persons admitted to community supervision? (Specify Gender: Male, Female, Not Stated, and Total Number of Admissions for each of the following categories of Population Supervised)

Population Supervised

Probation
Full Parole (Provincial Parole if applicable.)
Conditional Sentence
F.O.P. (Fine Option Program)
C.S.O. (Community Service Orders)
Other (Includes other specified and inmate temporarily released from custody (e.g. day parole), Specify: F.O.P. - Fine Option Program. C.S.O. - Community Service Orders.)
Total

Core Definition(s):

Population Supervised - See Question 25.
Admission/Intake to Community Supervision - See Question 27.

Deviation(s) from core definition(s)/comment(s):

Question 29: What was the ethnic background of persons admitted to community supervision? Specify Ethnicity (Aboriginal, Non-Aboriginal, Not Stated, and the Total number of Admissions) for each of the following categories of Population Supervised.

Population Supervised

Probation
Full Parole (Provincial Parole if applicable.)
Conditional Sentence
F.O.P. (Fine Option Program)
C.S.O. (Community Service Orders)
Other (Includes other specified and inmate temporarily released from custody (e.g. day parole), Specify: F.O.P. - Fine Option Program. C.S.O. - Community Service Orders.)
Total

Core Definition(s):

Population Supervised - See Question 25.
Admission/Intake to Community Supervision - See Question 27.
Ethnicity - Native refers to all North American Indians, Metis, Eskimo, Inuit; treaty and non-treaty Indians; status and non-status Indians.

Deviation(s) from core definition(s)/comment(s):

Question 30: What was the age of persons admitted to community supervision? If your data is not compatible with these categories (Probation, Full Parole*, Conditional Sentence, F.O.P (1), C.S.O (1), Other**, Total), please provide as much detail as possible.

Age of person admitted:

Less than 16
16
17
18
19
20
21
22
23
24
25 to 29
30 to 34
35 to 39
40 to 44
45 to 49
50 and over
Not Stated
Total admissions

Mean age (based on micro data)
Median age (based on micro data)

*Provincial Parole if applicable.
**Includes other specified and inmate temporarily released from custody (e.g. day parole)
**Specify

(1) F.O.P. - Fine Option Program.
C.S.O. - Community Service Orders.

Core Definition(s):

Population Supervised - See Question 25.
Admission/Intake to Community Supervision - See Question 27.
Age - Refers to age of person on admission to community supervision, calculated either from date of birth or as self-reported.

Deviation(s) from core definition(s)/comment(s):

Question 31: What types of offences were committed by persons admitted to probation supervision? (Specify gender: Male, Female, Not Stated, Total, for each of the following types of offence)

Type of offence:
Criminal Code

Against the person (i.e. murder, attempted murder, sexual offences, wounding, etc.)
Against the property (i.e. break/enter, theft, etc.)
Impaired Driving
Other Criminal Code

Federal Statutes

Drug offences
Other federal statutes

Provincial Statutes

Liquor offences
Other provincial statutes

Municipal By-Laws
Not Stated
TOTAL

Core Definition(s):

Probation - See Question 25.
Offence(s) - (i.e. C.C., Fed. Stat., Prov. Stat., Mun. By-Law) - Please provide as much information as possible on Offence(s) at time of admission to probation supervision.

Deviation(s) from core definition(s)/comment(s):

Question 32: For offenders admitted to probation supervision during the year what was the probation order length? If your data are not compatible with the categories below, please provide the most detailed breakdown possible.

Probation Order Length:

Less than 3 months
3 months
More than 3 and less than 6 months
6 months
More than 6 and less than 12 months
12 months
More than 12 and less than 18 months
18 months
More than 18 and less than 24 months
24 months
Over 24 months
Not stated
Total probation admissions

Mean probation order length (based on micro data)
Median probation order length (based on micro data)

Core Definition(s):

Probation - See Question 25.
Probation Admissions/Intakes - Refers to all admissions to probation during the year, regardless of degree of supervision. Includes prison plus probation sentences when the offender was released from custody during the year to serve the remainder of his/her sentence on probation.
Probation Order Length - Refers to the actual amount of time to be served on probation as specified in the probation order rather than the actual amount of time spent on probation prior to being discharged.

Deviation(s) from core definition(s)/comment(s):

Question 33: For those offenders whose probation supervision order was terminated during the year, how much time was actually spent under supervision? (Indicate Successful Completion and Total Completions). If your data are not compatible with the categories below, please provide the most detailed breakdown possible.

Time Served on Probation

Less than 3 months
3 months
More than 3 and less than 6 months
6 months
More than 6 and less than 12 months
12 months
More than 12 and less than 18 months
18 months
More than 18 and less than 24 months
24 months
Over 24 months
Not stated
Total probation discharges

Core Definition(s):

Probation - See Question 25.
Time Served on Probation - Refers to the amount of time actually served on probation rather than the amount of time specified to be served on the probation order.
Successful Completions - Refers to the total number of terminations of probation supervision without incident or arrest during the term of the order.
Total Completions - Refers to the number of terminations successfully completed or not (i.e. breach of probation).

Deviation(s) from core definition(s)/comment(s):

Question 34: For those jurisdictions which operate their own provincial parole board, what was the parole grant rate? (Specify whether it was Day parole or Full parole)

Parole Hearings

Parole granted
Parole denied
Parole deferred*
Total parole hearings

* Not eligible or inmates not available for interview, etc.

Core Definition(s):

Provincial Parole Board - These boards have the responsibility and authority for the conditional release of inmates serving provincial sentences within their respective jurisdiction. The National Parole Board has the authority to grant full parole and day parole to both federal and provincial inmates in the provinces/territories where no provincial board exists. A full parole is the full-time release of an inmate to serve the balance of his/her sentence in the community until its expiry date. A day parole is granted to a potential candidate for full parole. While on day parole, the inmate must return to the institution at regular intervals.
Parole Hearings - Total cases heard by the Board regardless of automatic reviews or formal applications.

Deviation(s) from core definition(s)/comment(s):

Question 35: For those jurisdictions which operate their own provincial parole board, what was the full parole and day parole success rate? (Specify whether it was Day parole or Full parole)

Reason for Termination

Regular expiry
Revocation
Termination of day parole
Other(s), specify:
Total

Core Definition(s):

Provincial Parole Board - See Question 34.

Deviation(s) from core definition(s)/comment(s):

The Youth in Transition Survey (YITS) - Cycle 6

Cohort A - Education above High School (Institution Roster)

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: INST_ID
Position: 11
Length: 1

This number given to the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 4

Table 1
	Response	FREQ	WTD
1 : 4	Institution number	5,990	N/A
Total		5,990	N/A

Coverage: Respondents with at least one post-secondary institution.

Section: Education and Training Above High School

Variable Name: H6Q227
Position: 12
Length: 2

In order to start at (Institution name), did you move ...?

Table 2
	Response	FREQ	WTD
01	to another country	72	N/A
02	to another province	266	N/A
03	to another city	299	N/A
04	within the same city	61	N/A
05	Did not move	1,443	N/A
96	Valid skip	3,849	N/A
Total		5,990	N/A

Coverage: Respondents who reported starting a new eligible post-secondary program taken between January 2008 and December 2009.
Note: H12
Fill table variable name: ^NameInst.

Section: Derived Variables

Variable Name: DSAINMD6
Position: 14
Length: 2

Derived variable: Date (month) respondent started post-secondary education at this institution, prior to January 2010.

Table 3
	Response	FREQ	WTD
01	January	496	N/A
02	February	72	N/A
03	March	54	N/A
04	April	58	N/A
05	May	133	N/A
06	June	85	N/A
07	July	62	N/A
08	August	404	N/A
09	September	3,703	N/A
10	October	120	N/A
11	November	68	N/A
12	December	58	N/A
96	Valid skip	656	N/A
99	Not stated	21	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: C5OPENI, IEF, DSPRMD6, DSPRYD6, (DSAINMD5 and DSAINYD5 from cycle 5).

Indicates the date a respondent started a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondent's participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DSAINYD6
Position: 16
Length: 4

Derived variable: Date (year) respondent started post-secondary education at this institution, prior to January 2010.

Allowed values: 1992 : 2009

Table 4
	Response	FREQ	WTD
2000 : 2009	Year started at this institution	5,313	N/A
9996	Valid skip	656	N/A
9999	Not stated	21	N/A
Total		5,990	N/A

Indicates the date a respondent started a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Variable Name: DLINMD6
Position: 20
Length: 2

Derived variable: Date (month) respondent was last at this institution between January 2008 and December 2009.

Table 5
	Response	FREQ	WTD
01	January	64	N/A
02	February	56	N/A
03	March	75	N/A
04	April	760	N/A
05	May	751	N/A
06	June	399	N/A
07	July	81	N/A
08	August	208	N/A
09	September	110	N/A
10	October	121	N/A
11	November	89	N/A
12	December	2,585	N/A
96	Valid skip	656	N/A
99	Not stated	35	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLPRMD6 and DLPRYD6.

Indicates the date a respondent was last taking a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Variable Name: DLINYD6
Position: 22
Length: 4

Derived variable: Date (year) respondent was last at this institution between January 2008 and December 2009.

Allowed values: 2008 : 2009

Table 6
	Response	FREQ	WTD
2008 : 2009	Year last at institution	5,304	N/A
9996	Valid skip	656	N/A
9999	Not stated	30	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLPRMD6 and DLPRYD6.

Indicates the date a respondent was last taking a post-secondary program at this institution either on a full-time or a part-time basis prior to January 2010.

Variable Name: HLATTD6
Position: 26
Length: 1

Derived variable: Post-secondary status at this institution as of December 2009.

Table 7
	Response	FREQ	WTD
1	Graduate, continuer	350	N/A
2	Graduate, non-continuer	2,563	N/A
3	Continuer	1,982	N/A
4	Leaver	428	N/A
6	Valid skip	656	N/A
9	Not stated	11	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: C5OPENI, IEF, PSILNGID, PSPLNGID, CLGPRD6, H6Q102 and HLATTD5 (cycle 5).

Category <1> includes respondents who have graduated from a post-secondary program and were attending an additional post-secondary program at the same institution in December 2009.

Variable Name: NEPRPID6
Position: 27
Length: 1

Derived Variable: Number of eligible post-secondary programs taken at this institution between January 2008 and December 2009.

Allowed values: 1 : 3

Table 8
	Response	FREQ	WTD
1 : 3	Number of eligible programs	5,334	N/A
6	Valid skip	656	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variable PEF.

Programs were checked for eligibility. To be eligible, a program must be above the high school level, towards a diploma, certificate or degree, take at least three months to complete, and started prior to January 2010. Refers to the total number of programs taken in each institution, where the number of programs does not exceed the limit. Thus, 3 programs are collected for institutions 1 and 2, 2 programs for institution 3, and 1 program for institution 4.

Institution level derived variables refer to respondent's participation at an institution for a specific time frame. Due to the manner in which information is collected, it is possible for respondents to report attendance at the same institution more than once within a cycle and between cycles. For this reason, for analyses that address respondents participation at a particular institution over time, researchers should use the institution code in addition to the institution level variables.

Variable Name: DLFINMD6
Position: 28
Length: 2

Derived variable: Date (month) respondent was last taking post-secondary education at this institution on a full-time basis prior to January 2010.

Table 9
	Response	FREQ	WTD
01	January	78	N/A
02	February	38	N/A
03	March	55	N/A
04	April	774	N/A
05	May	693	N/A
06	June	343	N/A
07	July	66	N/A
08	August	181	N/A
09	September	101	N/A
10	October	97	N/A
11	November	62	N/A
12	December	2,070	N/A
95	Never at this institution on a full-time basis	665	N/A
96	Valid skip	656	N/A
99	Not stated	111	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: DLFPRMD6, DLFPRYD6, (DLFINMD5 and DLFINYD5 from cycle 5).

Indicates the date a respondent was last at this post-secondary institution on a full-time basis prior to January 2010.

Variable Name: DLFINYD6
Position: 30
Length: 4

Derived variable: Date (year) respondent was last taking post-secondary education at this institution on a full-time basis prior to January 2010.

Allowed values: 1992 : 2009

Table 10
	Response	FREQ	WTD
2003 : 2009	Year (last full-time basis)	4,558	N/A
9995	Never at institution on a full-time basis	665	N/A
9996	Valid skip	656	N/A
9999	Not stated	111	N/A
Total		5,990	N/A

Indicates the date a respondent was last at this post-secondary institution on a full-time basis prior to January 2010.

Variable Name: FPLIND6
Position: 34
Length: 1

Derived variable: Full-time or part-time student when last at this institution between January 2008 and December 2009.

Table 11
	Response	FREQ	WTD
1	Full-time	4,025	N/A
2	Part-time	1,250	N/A
6	Valid skip	656	N/A
9	Not stated	59	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: IEF, PEF, FPLPRD6, DLPRMD6 and DLPRYD6.

If two or more programs at the same institution have the same departure date, a respondent who attends at least one of the programs on a full-time basis will be listed in FPLIND6 as full-time.

Variable Name: TYPEID6
Position: 35
Length: 2

Derived variable: Type of post-secondary institution.

Table 12
	Response	FREQ	WTD
01	A university	3,471	N/A
02	A university college (may grant university degrees)	237	N/A
03	A community college or CEGEP	920	N/A
04	A publicly-funded technical institute, or a trade/vocational school	293	N/A
05	A private business school or private training institute	337	N/A
06	A Quebec secondary school or school board	0	N/A
07	Another school above high school	49	N/A
96	Valid skip	656	N/A
99	Not stated	27	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q219, TYPEID5 (cycle 5) and PSILNGID.

Variable Name: PSCMD6
Position: 37
Length: 8

Derived variable: Campus code.

Allowed values: 00000001 : 99999994

Table 13
	Response	FREQ	WTD
10001000 : 59082000	Campus code	4,191	N/A
99999996	Valid skip	843	N/A
99999999	Not stated	956	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education in Canada between January 2008 and December 2009.
Note: This variable was derived from the variables: PSPROVD6, INSCDD6, H6Q225, PSCMD5 (cycle 5), IEF and PSILNGID.

Variable Name: PSPROVD6
Position: 45
Length: 2

Derived variable: Province of post-secondary institution.

Table 14
	Response	FREQ	WTD
10	Newfoundland	302	N/A
11	Prince Edward Island	161	N/A
12	Nova Scotia	514	N/A
13	New Brunswick	327	N/A
24	Quebec	972	N/A
35	Ontario	1,033	N/A
46	Manitoba	384	N/A
47	Saskatchewan	351	N/A
48	Alberta	592	N/A
59	British Columbia	511	N/A
60	Yukon	0	N/A
61	Northwest Territories	0	N/A
62	Nunavut	0	N/A
76	United States	127	N/A
77	Other country (Outside Canada and the United States	60	N/A
96	Valid skip	656	N/A
Total		5,990	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q221, PSPROVD5 (cycle 5), IEF and PSILNGID.

Variable Name: INSCDD6
Position: 47
Length: 5

Derived variable: Institution code.

Allowed values: 00001 : 99993

Table 15
	Response	FREQ	WTD
10001 : 59082	Institution code	4,501	N/A
99996	Valid skip	843	N/A
99999	Not stated	646	N/A
Total		5,990	N/A

Variable Name: PSIPOSID
Position: 52
Length: 2

Post-secondary institution position identifier which identifies the cycle and position where the data in this cycle for this program was collected.

Allowed values: 61 : 64

Table 16
	Response	FREQ	WTD
61 : 64	Institution position identifier	5,990	N/A
Total		5,990	N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variable: INST_ID.

Variable Name: PSILNGID
Position: 54
Length: 2

Post-secondary institution longitudinal identifier which permits following an institution across cycles.

Allowed values: 21 : 64

Table 17
	Response	FREQ	WTD
21 : 64	Institution position identifier	5,990	N/A
Total		5,990	N/A

Coverage: Respondents with at least one post-secondary program at this institution.
Note: This variable was derived from the variables: PSILNGID (cycle 5), C5OPENI and INST_ID.

Variable Name: ICYID
Position: 56
Length: 1

Derived Variable: Post-secondary institution cycle identifier, which identifies the cycle where data was first collected for this institution.

Table 18
	Response	FREQ	WTD
1	Collection on this institution began in cycle 1	0	N/A
2	Collection on this institution began in cycle 2	5	N/A
3	Collection on this institution began in cycle 3	1,046	N/A
4	Collection on this institution began in cycle 4	943	N/A
5	Collection on this institution began in cycle 5	1,855	N/A
6	Collection on this institution began in cycle 6	2,141	N/A
Total		5,990	N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variables: ICYID (cycle 5) and C5OPENI.

The Youth in Transition Survey (YITS) - Cycle 6 - Cohort A - Education above High School (Program Roster)

Cohort A - Education above High School (Program Roster)

Section: Entry

Variable Name: RecordID
Position: 1
Length: 10

Respondent identification, sequenced from 1 to end.

Variable Name: INST_ID
Position: 11
Length: 1

This number given to the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 4

Table 1

	Response	FREQ	WTD
1 : 4	Institution number	6,570	N/A
Total		6,570	N/A

Coverage: Respondents with at least one post-secondary institution.

Variable Name: PROG_ID
Position: 12
Length: 1

This number given to the program within the institution corresponds to the order in which the respondent reported it.

Allowed values: 1 : 3

Table 2

	Response	FREQ	WTD
1 : 3	Program number	6,570	N/A
Total		6,570	N/A

Coverage: Respondents with at least one post-secondary program.

Section: Education and Training Above High School

Variable Name: H6Q110
Position: 13
Length: 2

What was the main reason you stopped before completing your (Diploma name) from (Institution name)?

Table 3
	Response	FREQ	WTD
01	Not enough money	28	N/A
02	Wanted to work	40	N/A
03	Marks too low	11	N/A
04	Didn't like it / not for me	42	N/A
05	To change schools or programs	26	N/A
06	Only missing a few credits, not worth continuing	6	N/A
07	Wanted a break	8	N/A
08	To travel	4	N/A
09	Pregnant / caring for own child	9	N/A
10	Own health	6	N/A
11	Other - Specify	31	N/A
96	Valid skip	6,358	N/A
99	Not stated	1	N/A
Total		6,570	N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), but were no longer in this program between January 2008 and December 2009 and had not completed the requirements for the program by December 2007.
Note: Fill table variable names: ^INFO.H18A, ^INFO.HT5.

Variable Name: H6Q111
Position: 15
Length: 1

Do you have plans to complete your (Diploma name) from any school?

Table 4
	Response	FREQ	WTD
1	Yes, plan to complete it	94	N/A
2	Completed it	21	N/A
3	No plans to complete it	93	N/A
6	Valid skip	6,358	N/A
7	Don't know	3	N/A
9	Not stated	1	N/A
Total		6,570	N/A

Variable Name: H6Q112
Position: 16
Length: 1

Would that be from (Institution name) or from another school?

Table 5
	Response	FREQ	WTD
1	This school	66	N/A
2	Another school	41	N/A
6	Valid skip	6,451	N/A
7	Don't know	8	N/A
9	Not stated	4	N/A
Total		6,570	N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), but were no longer in this program between January 2008 and December 2009, had not completed the requirements for the program by December 2007, and said that they had plans to complete this program or had already completed it.

Note: Fill table variable name: ^INFO.HT5.

Variable Name: H6Q210
Position: 17
Length: 2

What was the main reason you stopped before completing your (Diploma name) from (Institution name)?

Table 6
	Response	FREQ	WTD
01	Not enough money	4	N/A
02	Wanted to work	0	N/A
03	Marks too low	3	N/A
04	Didn't like it / Not for me	10	N/A
05	To change schools or programs	23	N/A
06	Only missing a few credits, not worth continuing	1	N/A
07	Wanted a break	0	N/A
08	To travel	0	N/A
09	Pregnant / Caring for own child	0	N/A
10	Own health	0	N/A
11	Other - Specify	4	N/A
96	Valid skip	6,525	N/A
Total		6,570	N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), were still at this institution for this program in cycle 6, but were no longer in this program in cycle 6, and had not completed the requirements for this program by December 2007.
Note: Fill table variable names: ^INFO.H18A, ^INFO.HT5.

Variable Name: H6Q211
Position: 19
Length: 1

Do you have plans to complete your (Diploma name) from any school?

Table 7
	Response	FREQ	WTD
1	Yes, plan to complete it	6	N/A
2	Completed it	3	N/A
3	No plans to complete it	36	N/A
6	Valid skip	6,525	N/A
Total		6,570	N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), were still at the same institution between January 2008 and December 2009, but no longer in this particular program, and had not completed the requirements of this program by December 2007.
Note: Fill table variable name: ^INFO.H18A.

Variable Name: H6Q211A
Position: 20
Length: 1

Would that be from (Institution name) or from another school?

Table 8
	Response	FREQ	WTD
1	This school	7	N/A
2	Another school	2	N/A
6	Valid skip	6,561	N/A
Total		6,570	N/A

Coverage: Respondents who were in an eligible post-secondary program in December 2007 (cycle 5), who were still at the same institution between January 2008 and December 2009, but no longer in this particular program, had not completed the requirements for this program by December 2007, and said that they had plans to complete this program or had already completed their program.
Note: Fill table variable name: ^INFO.HT5.

Variable Name: H6Q309
Position: 21
Length: 1

What is or was your main field of study or specialization?

Table 9
	Response	FREQ	WTD
1	Collect the name	2,420	N/A
3	Not yet decided	168	N/A
6	Valid skip	3,960	N/A
7	Don't know	14	N/A
8	Refused	4	N/A
9	Not stated	4	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H18B

Variable Name: H6Q310
Position: 22
Length: 1

Second main field/specialization of equal importance.

Table 10
	Response	FREQ	WTD
1	Collect the second name	262	N/A
3	No second main field of study/specialization of equal importance	2,147	N/A
6	Valid skip	4,128	N/A
9	Not stated	33	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H18C

Variable Name: H6Q319
Position: 23
Length: 2

What was the main reason you chose to take (this program/subject)?

Table 11
	Response	FREQ	WTD
01	Co-op/ work experience included	4	N/A
02	Make parents happy	8	N/A
03	Good at it/ get good marks	42	N/A
04	Better job opportunities	537	N/A
05	To make good money	77	N/A
06	Want job related to it	342	N/A
07	Personal interest in it	1,262	N/A
08	Needed for further education	130	N/A
09	Didn't know what else to take	26	N/A
10	Cost, program length, or location	18	N/A
11	Other - Specify	143	N/A
96	Valid skip	3,960	N/A
97	Don't know	10	N/A
98	Refused	4	N/A
99	Not stated	7	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: Fill table variable name: ^H_Q319.

Variable Name: H6Q321
Position: 25
Length: 1

Did you ever change your main field of study or specialization for this diploma /certificate/ degree while at (Institution name)?

Table 12
	Response	FREQ	WTD
1	Yes	97	N/A
2	No	2,493	N/A
6	Valid skip	3,960	N/A
7	Don't know	8	N/A
8	Refused	5	N/A
9	Not stated	7	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: H22
Fill table variable name: ^NameInst.

Variable Name: H6Q322
Position: 26
Length: 2

What is the main reason you changed it?

Table 13
	Response	FREQ	WTD
01	Marks too low	1	N/A
02	Couldn't get in before	2	N/A
03	Better job opportunities	23	N/A
04	Changed career plans	13	N/A
05	Didn't like it/ not for me	15	N/A
06	Interest in new subject	29	N/A
07	Someone recommended it	3	N/A
08	Other - Specify	11	N/A
96	Valid skip	6,453	N/A
99	Not stated	20	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009 and who changed their main field of study or specialization for their diploma / certificate / degree while at that institution.
Note: H23

Variable Name: H6Q333
Position: 28
Length: 2

According to your school, what is the normal length of time required to complete a (program name) when taken full-time?

Table 14
	Response	FREQ	WTD
01	Less than 3 Months	0	N/A
02	3 to 5 Months	124	N/A
03	6 to 7 Months	113	N/A
04	8 to 12 Months	459	N/A
05	13 to 17 Months	75	N/A
06	1 and half years up to less than 2 years	240	N/A
07	2 Years to less than 3 years	620	N/A
08	3 Years to less than 4 years	386	N/A
09	4 Years to less than 5 years	446	N/A
10	5 Years to less than 6 years	46	N/A
11	6 Years or more	5	N/A
12	Length varies	26	N/A
13	Program only offered part-time	36	N/A
96	Valid skip	3,960	N/A
97	Don't know	18	N/A
98	Refused	6	N/A
99	Not stated	10	N/A
Total		6,570	N/A

Coverage: Respondents who reported new eligible post-secondary programs taken between January 2008 and December 2009.
Note: Fill table variable name: ^NamePgm.

Variable Name: H6Q334
Position: 30
Length: 2

According to your school, what is the normal length of time required to complete a (program name) when taken part-time?

Table 15
	Response	FREQ	WTD
01	Less than 3 Months	0	N/A
02	3 to 5 Months	8	N/A
03	6 to 7 Months	3	N/A
04	8 to 12 Months	4	N/A
05	13 to 17 Months	0	N/A
06	1 and half years up to less than 2 years	6	N/A
07	2 Years to less than 3 years	8	N/A
08	3 Years to less than 4 years	1	N/A
09	4 Years to less than 5 years	1	N/A
10	5 Years to less than 6 years	2	N/A
11	6 Years or more	1	N/A
12	Length varies	2	N/A
96	Valid skip	6,510	N/A
99	Not stated	24	N/A
Total		6,570	N/A

Coverage: Respondents who reported a new eligible post-secondary program taken between January 2008 and December 2009 that is only offered part-time.
Note: Fill table variable name: ^NamePgm.

Variable Name: H6Q361
Position: 32
Length: 2

In December 2009, what year of your education or training program were you enrolled in?

Allowed values: 01 : 09

Table 16
	Response	FREQ	WTD
01 : 08	Year enrolled in	2,078	N/A
96	Valid skip	4,463	N/A
97	Don't know	25	N/A
98	Refused	2	N/A
99	Not stated	2	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009 that takes more than one year to complete.
Note: H29
Reference period: ^RefPerEng04.

Variable Name: H6Q362
Position: 34
Length: 2

In what month and year do you expect to finish the requirements for your (program name)?

Table 17
	Response	FREQ	WTD
01	January	70	N/A
02	February	18	N/A
03	March	58	N/A
04	April	652	N/A
05	May	432	N/A
06	June	285	N/A
07	July	76	N/A
08	August	153	N/A
09	September	81	N/A
10	October	36	N/A
11	November	16	N/A
12	December	377	N/A
14	Does not expect to complete	29	N/A
96	Valid skip	4,190	N/A
97	Don't know	94	N/A
98	Refused	1	N/A
99	Not stated	2	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009.
Note: H30M
Fill table variable name: ^NamePgm.

Variable Name: H6Q363
Position: 36
Length: 4

Year.

Allowed values: 2009 : 2020

Table 18
	Response	FREQ	WTD
2009 : 2020	Year	2,301	N/A
9996	Valid skip	4,220	N/A
9997	Don't know	47	N/A
9999	Not stated	2	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program in December 2009.
Note: H30Y
Reference period: ^RefPerEng12.

Variable Name: H6Q400
Position: 40
Length: 2

What is the main reason you stopped before completing your (program name) from (Institution name)?

Table 19
	Response	FREQ	WTD
1	Not enough money	56	N/A
2	Wanted to work	69	N/A
3	Marks too low	18	N/A
4	Didn't like it / Not for me	83	N/A
5	To change schools or programs	103	N/A
6	Only missing a few credits, not worth continuing	21	N/A
7	Wanted a break	17	N/A
8	To travel	6	N/A
9	Pregnant / Caring for own child	19	N/A
10	Own health	20	N/A
11	Other - Specify	109	N/A
96	Valid skip	6,020	N/A
97	Don't know	3	N/A
98	Refused	5	N/A
99	Not stated	21	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, and had not completed the requirements of the program.
Note: H39
Fill table variable names: ^NamePgm, ^NameInst.

Variable Name: H6Q404
Position: 42
Length: 2

What year of your program were you enrolled in when you stopped taking it at this school?

Allowed values: 01 : 07

Table 20
	Response	FREQ	WTD
01 : 06	Year of program when stopped	457	N/A
96	Valid skip	6,081	N/A
97	Don't know	8	N/A
98	Refused	6	N/A
99	Not stated	18	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, and had not completed the requirements for the program, whose program duration is more than 12 months.
Note: H42

Variable Name: H6Q405
Position: 44
Length: 1

Do you have plans to complete your (program name) from any school?

Table 21
	Response	FREQ	WTD
1	Yes, plan to complete it	244	N/A
2	Completed it	23	N/A
3	No plans to complete it	237	N/A
6	Valid skip	6,020	N/A
7	Don't know	21	N/A
8	Refused	4	N/A
9	Not stated	21	N/A
Total		6,570	N/A

Variable Name: H6Q406
Position: 45
Length: 1

Would that be from (Institution name) or from another school?

Table 22
	Response	FREQ	WTD
1	This school	169	N/A
2	Another school	84	N/A
6	Valid skip	6,282	N/A
7	Don't know	14	N/A
9	Not stated	21	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were no longer in the program as of December 2009, had not completed the requirements of the program, and said that they had plans to complete it or had already completed it.
Note: H43B
Fill table variable name: ^NameInst.

Variable Name: H6Q407
Position: 46
Length: 2

About how many months did you stop for?

Table 23
	Response	FREQ	WTD
01	Less than one month	6	N/A
02	1 to 5 months	120	N/A
03	6 to 11 months	95	N/A
04	12 to 17 months	37	N/A
05	18 months or more	27	N/A
96	Valid skip	6,236	N/A
97	Don't know	1	N/A
99	Not stated	48	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009, who were still taking education in the program in December 2009 or had completed the requirements of their program as of the end of December 2009, and had stopped or interrupted their education in this program sometime between January 2008 and December 2009.
Note: H44

Variable Name: H6Q408
Position: 48
Length: 2

How much of your work towards this program from (Institution name) did you take as a part-time student? Was that...?

Table 24
	Response	FREQ	WTD
01	none of it	3,936	N/A
02	less than half	687	N/A
03	about half	182	N/A
04	more than half	99	N/A
05	all of it	827	N/A
96	Valid skip	777	N/A
97	Don't know	13	N/A
98	Refused	5	N/A
99	Not stated	44	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: H45
Fill table variable name: ^NameInst.

Variable Name: H6Q417
Position: 50
Length: 2

Between January 2008 and December 2009, how much of this diploma, certificate, or degree did you take through correspondence or another type of distance education like television or video? Was that...?

Table 25
	Response	FREQ	WTD
01	none of it	4,660	N/A
02	less than half	517	N/A
03	about half	65	N/A
04	more than half	60	N/A
05	all of it	428	N/A
96	Valid skip	777	N/A
97	Don't know	2	N/A
98	Refused	5	N/A
99	Not stated	56	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: H48A
Reference period: ^RefPerEng01.

Variable Name: H6Q418A
Position: 52
Length: 1

What methods of distance education did you use?...Television or radio broadcasts

Table 26
	Response	FREQ	WTD
1	Yes	22	N/A
2	No	1,044	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418B
Position: 53
Length: 1

What methods of distance education did you use?...Videotapes or audio-cassettes

Table 27
	Response	FREQ	WTD
1	Yes	60	N/A
2	No	1,006	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418C
Position: 54
Length: 1

Table 28
	Response	FREQ	WTD
1	Yes	43	N/A
2	No	1,023	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418D
Position: 55
Length: 1

What methods of distance education did you use?...Telephone or Audio-conferencing (live)

Table 29
	Response	FREQ	WTD
1	Yes	53	N/A
2	No	1,013	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418E
Position: 56
Length: 1

What methods of distance education did you use?...Internet or email

Table 30
	Response	FREQ	WTD
1	Yes	899	N/A
2	No	167	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q418F
Position: 57
Length: 1

What methods of distance education did you use?...Correspondence by regular mail

Table 31
	Response	FREQ	WTD
1	Yes	289	N/A
2	No	777	N/A
6	Valid skip	5,437	N/A
7	Don't know	4	N/A
9	Not stated	63	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 through correspondence or another type of distance education.

Variable Name: H6Q419
Position: 58
Length: 1

During the last 2 years, has your program (program name) included on-the-job experience, where you spent time in a work place?

Table 32
	Response	FREQ	WTD
1	Yes	2,346	N/A
2	No	3,379	N/A
6	Valid skip	777	N/A
7	Don't know	6	N/A
8	Refused	4	N/A
9	Not stated	58	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009.
Note: HQ49A
Fill table variable name: ^NamePgm.

Variable Name: H6Q420
Position: 59
Length: 2

Was this ...?

Table 33
	Response	FREQ	WTD
01	a Co-op program (alternating periods of study and paid work terms)	272	N/A
02	an Apprenticeship program	239	N/A
03	a Trade/vocational training program	75	N/A
04	another program (e.g., practicum, internship, clinical)	1,601	N/A
05	another program with a work placement	135	N/A
96	Valid skip	4,156	N/A
97	Don't know	24	N/A
99	Not stated	68	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ49B
One or more new categories, which were not present at the time of interview, were generated from frequency of responses to 'other specify' for this cycle.

Variable Name: H6Q430
Position: 61
Length: 2

What was the main reason you chose to participate in this work experience program?

Table 34
	Response	FREQ	WTD
01	Requirement of my program	1,912	N/A
02	Parents wanted me to	0	N/A
03	Good at it/to get good marks	3	N/A
04	Better job opportunities	134	N/A
05	To make good money	38	N/A
06	Wanted job related to it	58	N/A
07	Interested in subject	66	N/A
08	Better qualifies me for further university, college, or other education	29	N/A
09	Didn't know what else to take	0	N/A
10	Someone recommended it (such as a guidance counselor or friend)	5	N/A
11	Other - Specify	101	N/A
96	Valid skip	4,156	N/A
99	Not stated	68	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ49K

Variable Name: H6Q432
Position: 63
Length: 1

Did you obtain information in this program

... about future employers for students in your field of study?

Table 35
	Response	FREQ	WTD
1	Yes	1,831	N/A
2	No	503	N/A
6	Valid skip	4,156	N/A
7	Don't know	11	N/A
9	Not stated	69	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ62

Variable Name: H6Q433
Position: 64
Length: 1

Did you obtain information in this program

... about possible types of jobs?

Table 36
	Response	FREQ	WTD
1	Yes	2,075	N/A
2	No	265	N/A
6	Valid skip	4,156	N/A
7	Don't know	4	N/A
9	Not stated	70	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ63

Variable Name: H6Q434
Position: 65
Length: 1

Did you obtain information in this program

... about possible further education?

Table 37
	Response	FREQ	WTD
1	Yes	1,717	N/A
2	No	620	N/A
6	Valid skip	4,156	N/A
7	Don't know	7	N/A
9	Not stated	70	N/A
Total		6,570	N/A

Coverage: Respondents taking education in an eligible post-secondary program between January 2008 and December 2009 and whose program included on-the-job experience.
Note: HQ64

Section: Derived Variables

Variable Name: INELIGD6
Position: 66
Length: 2

Derived variable: An ineligibility flag indicating the reason why an open program and/or institution from cycle 5 was deemed ineligible in cycle 6.

Table 38
	Response	FREQ	WTD
01	Respondent denies being at institution in December 2007	15	N/A
02	Respondent not stated (dont' know/refused) if at institution in December 2007, but was not there in cycle 6	0	N/A
03	Respondent not stated (don't know/refused) if at institution in cycle 6	2	N/A
04	Respondent does not acknowledge (i.e., no, don't know/refused) taking education towards program in December 2007	4	N/A
05	Respondent was in program in December 2007, and has graduated from the program	468	N/A
06	Respondent was in program in December 2007, and has left the program	244	N/A
07	Respondent was in program in December 2007, however not stated (don't know/refused) if he/she met the requirements for the program	1	N/A
08	Respondent denies being in program in December 2007	27	N/A
09	Respondent not stated (don't know/refused) if in program in December 2007, but was not there in cycle 6	0	N/A
10	Respondent not stated (don't know/refused) if in program this cycle	0	N/A
96	Valid Skip	5,793	N/A
99	Not stated	16	N/A
Total		6,570	N/A

Coverage: Respondents with an open program/institution from cycle 5.
Note: This variable was derived from the variables: C5OpenI, IEF, C5OpenP, PEF, H6Q102, H6Q103, H6Q109, H6Q109A, H6Q111, H6Q112, H6Q203, H6Q204, H6Q209, H6Q211 and H6Q211A.

Variable Name: INELGHD6
Position: 68
Length: 1

Derived variable: Flag indicating whether or not an open program and/or institution from cycle 5 was deemed ineligible in cycle 6.

Table 39
	Response	FREQ	WTD
1	Ineligible	777	N/A
2	Eligible	5,793	N/A
Total		6,570	N/A

Coverage: Respondents with an open program/institution from cycle 5.
Note: This variable was derived from the variables: H6Q102, H6Q103, H6Q109, H6Q109A, H6Q111, H6Q112, H6Q203, H6Q204, H6Q209, H6Q211, H6Q211A, C5OPENI, IEF, C5OPENP and PEF.

Variable Name: LVPRD6
Position: 69
Length: 2

Derived variable: Level of post-secondary program.

Table 40
	Response	FREQ	WTD
02	Attestation of Vocational Specialization (AVS or ASP)	0	N/A
03	Private Business School or Training Institute Diploma or Certificate	291	N/A
04	Registered Apprenticeship program	86	N/A
05	College or CEGEP program	1,092	N/A
06	University transfer program at a college or CEGEP (for credits, university transfer diploma or Associate's Degree)	29	N/A
07	College post-diploma or graduate level program (college diploma or higher needed first)	33	N/A
08	University diploma or certificate BELOW Bachelor's (undergraduate level)	209	N/A
09	Bachelor's degree	2,634	N/A
10	First professional degree	142	N/A
11	Graduate-level diploma or certificate ABOVE Bachelor's, BELOW Master's	155	N/A
12	Master's degree	713	N/A
13	Ph.D. degree	122	N/A
20	Diploma, certificate or license from a professional association as in accounting, banking, or insurance	140	N/A
23	Other level of post-secondary	107	N/A
96	Valid skip	777	N/A
99	Not stated	40	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q313, H6Q314a, H6Q315, H6Q317, INELGHD6, C5OPENP, PEF and LVPRD5 from cycle 5.
Category <23> refers to university and non-university level training or programs which are not captured in the other categories.

Variable Name: CLGPRD6
Position: 71
Length: 1

Derived variable: Post-secondary status in this program as of December 2009.

Table 41
	Response	FREQ	WTD
1	Graduate	2,864	N/A
2	Continuer	2,379	N/A
3	Leaver	535	N/A
6	Valid skip	777	N/A
9	Not stated	15	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q336, H6Q372, INELGHD6, C5OPENP and PEF.

Variable Name: DSPRMD6
Position: 72
Length: 2

Derived variable: Date (month) respondent started this post-secondary program, prior to January 2010.

Table 42
	Response	FREQ	WTD
01	January	603	N/A
02	February	77	N/A
03	March	59	N/A
04	April	62	N/A
05	May	187	N/A
06	June	99	N/A
07	July	77	N/A
08	August	414	N/A
09	September	3,927	N/A
10	October	124	N/A
11	November	72	N/A
12	December	66	N/A
96	Valid skip	777	N/A
99	Not stated	26	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q324, H6Q325, C5OPENP, PEF, INELGHD6, and (DSPRMD5 and DSPRYD5 from cycle 5).
Indicates the date within the reference period a respondent started a post-secondary program, either on a full-time or a part-time basis.

Variable Name: DSPRYD6
Position: 74
Length: 4

Derived variable: Date (year) respondent started this post-secondary program, prior to January 2010.

Allowed values: 1992 : 2009

Table 43
	Response	FREQ	WTD
2000 : 2009	Year started program	5,767	N/A
9996	Valid skip	777	N/A
9999	Not stated	26	N/A
Total		6,570	N/A

Variable Name: DLPRMD6
Position: 78
Length: 2

Derived variable: Date (month) respondent was last taking this post-secondary program between January 2008 and December 2009.

Table 44
	Response	FREQ	WTD
01	January	81	N/A
02	February	62	N/A
03	March	83	N/A
04	April	880	N/A
05	May	855	N/A
06	June	448	N/A
07	July	92	N/A
08	August	233	N/A
09	September	132	N/A
10	October	127	N/A
11	November	94	N/A
12	December	2,663	N/A
96	Valid skip	777	N/A
99	Not stated	43	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q373, H6Q374, H6Q378, H6Q379, C5OPENP, PEF, INELGHD6 and CLGPRD6.
Indicates the date a respondent was last taking a post-secondary program, either on a full-time or a part-time basis. For post-secondary program graduates, this variable gives the date of graduation.

Variable Name: DLPRYD6
Position: 80
Length: 4

Derived variable: Date (year) respondent was last taking this post-secondary program between January 2008 and December 2009.

Allowed values: 2008 : 2009

Table 45
	Response	FREQ	WTD
2008 : 2009	Year last taking program	5,756	N/A
9996	Valid skip	777	N/A
9999	Not stated	37	N/A
Total		6,570	N/A

Variable Name: FPLPRD6
Position: 84
Length: 1

Derived variable: Full-time or part-time student when last in this program, between January 2008 and December 2009.

Table 46
	Response	FREQ	WTD
1	Full-time	4,394	N/A
2	Part-time	1,340	N/A
6	Valid skip	777	N/A
9	Not stated	59	N/A
Total		6,570	N/A

Coverage: Respondents who were taking a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q349, H6Q383, H6Q402 and INELGHD6.

Variable Name: DLFPRMD6
Position: 85
Length: 2

Derived variable: Date (month) respondent was last taking this post-secondary program, on a full-time basis prior to January 2010.

Table 47
	Response	FREQ	WTD
01	January	93	N/A
02	February	40	N/A
03	March	58	N/A
04	April	872	N/A
05	May	776	N/A
06	June	379	N/A
07	July	72	N/A
08	August	199	N/A
09	September	119	N/A
10	October	100	N/A
11	November	64	N/A
12	December	2,069	N/A
95	Never in program on a full-time basis	837	N/A
96	Valid skip	777	N/A
99	Not stated	115	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables: H6Q336, H6Q349, H6Q372, H6Q373, H6Q374, H6Q383, H6Q378, H6Q379, H6Q402, H6Q408, H6Q414, H6Q415, C5OPENP, PEF, INELGHD6, and (DLFPRMD5 and DLFPRYD5 from cycle 5).

Variable Name: DLFPRYD6
Position: 87
Length: 4

Derived variable: Date (year) respondent was last taking this post-secondary program on a full-time basis prior to January 2010.

Allowed values: 1992 : 2009

Table 48
	Response	FREQ	WTD
2004 : 2009	Year last full-time	4,841	N/A
9995	Never in program on a full-time basis	837	N/A
9996	Valid skip	777	N/A
9999	Not stated	115	N/A
Total		6,570	N/A

Variable Name: SIPRD6
Position: 91
Length: 1

Derived variable: For post-secondary programs which are ongoing or completed as of December 2009, whether respondent has stopped or interrupted their education between January 2008 and December 2009.

Table 49
	Response	FREQ	WTD
1	Yes, stopped or interrupted	286	N/A
2	No, did not stop or interrupt	4,930	N/A
6	Valid skip	1,326	N/A
9	Not stated	28	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education in programs which are ongoing or completed.
Note: This variable was derived from the variables: H6Q367, H6Q384 and INELGHD6.
Respondents who stopped their post-secondary programs before completion (program leavers and unknowns), are not included in this variable.

Variable Name: AGEPSD6
Position: 92
Length: 2

Derived variable: Respondent's age at start of post-secondary program.

Allowed values: 00 : 25

Table 50
	Response	FREQ	WTD
15 : 25	Age at start of first program	5,767	N/A
96	Valid skip	777	N/A
99	Not stated	26	N/A
Total		6,570	N/A

Coverage: Respondents who were taking a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: DSPRYD6, DSPRMD6, BYEARD6, BMONTHD6, INELGHD6 and AGED6.
Age may vary by one year because variable is sometimes calculated from year information only (and not using month information as may not have been reported by respondent).

Variable Name: NUMDURD6
Position: 94
Length: 3

Derived variable: Time spent taking a post-secondary program, as of December 2009.

Allowed values: 001 : 150

Table 51
	Response	FREQ	WTD
001 : 116	Number of months taking program	5,744	N/A
996	Valid skip	777	N/A
999	Not stated	49	N/A
Total		6,570	N/A

Coverage: Respondents who participated in a post-secondary program between January 2008 and December 2009.
Note: This variable was derived from the variables: DSPRYD6, DSPRMD6, DLPRMD6, DLPRYD6 and INELGHD6.

Variable Name: RSIPRD6
Position: 97
Length: 2

Derived variable: For programs in which respondents participated between January 2008 and December 2009, reason for stopping or interrupting program if the respondent stopped or interrupted their program.

Table 52
	Response	FREQ	WTD
01	Not enough money	43	N/A
02	Wanted to work	63	N/A
03	Marks too low	6	N/A
04	Didn't like it/Not for me	5	N/A
05	To change schools or programs	13	N/A
07	Wanted a break	27	N/A
08	To travel	16	N/A
09	Pregnant/Caring for own child	20	N/A
10	Own health	29	N/A
11	Other	64	N/A
96	Valid skip	6,256	N/A
99	Not stated	28	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education in programs which are ongoing or completed and who have ever stopped or interrupted their studies.
Note: This variable was derived from the variables: H6Q368, H6Q385, SIPRD6 and INELGHD6.
This variable indicates the reason for the most recent interruption in the program between January 2008 and December 2009, if there were one or more interruptions.
Respondents who had stopped their educational programs before completion (leavers) are not included in RSIPRD6. The reasons why a leaver stopped their program before completion can be found in question H6Q400.

Variable Name: CIP1D6
Position: 99
Length: 5.2

Derived variable: Respondent's first main field of study or specialization.

Table 53
	Response	FREQ	WTD
01.00 : 60.02	CIP codes - 1st main field	5,398	N/A
89.99	Not codeable	134	N/A
99.96	Valid skip	777	N/A
99.99	Not stated	261	N/A
Total		6,570	N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variables: H6Q309, H6Q341, H6Q345, INELGHD6, CLGPRD6 and CIP code.
Respondents who reported a main field of study or specialisation that could not be coded were assigned the code 89.99.

Variable Name: CIP1RD6
Position: 104
Length: 3

Derived variable: Respondent's first main field of study or specialization (primary grouping).

Table 54
	Response	FREQ	WTD
001	Personal Improvement and Leisure	4	N/A
010	Education	431	N/A
020	Visual and Performing Arts, and Communications Technologies	433	N/A
030	Humanities	920	N/A
040	Social and Behavioural Sciences, and Law	1,012	N/A
050	Business, Management and Public Administration	302	N/A
060	Physical and Life Sciences, and Technologies	158	N/A
070	Mathematics, Computer and Information Sciences	680	N/A
080	Architecture, Engineering and Related Technologies	131	N/A
090	Agriculture, Natural Resources and Conservation	961	N/A
100	Health, Parks, Recreation and Fitness	125	N/A
110	Personal, Protective and Transportation Services	153	N/A
120	Other	134	N/A
996	Valid skip	777	N/A
999	Not stated	261	N/A
Total		6,570	N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variable: CIP1D6.

Variable Name: CIP2D6
Position: 107
Length: 5.2

Derived variable: Respondent's second main field of study or specialization.

Table 55
	Response	FREQ	WTD
01.01 : 55.01	CIP codes - 2nd main field	243	N/A
89.99	Not codeable	18	N/A
99.96	Valid skip	6,275	N/A
99.99	Not stated	34	N/A
Total		6,570	N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variables: H6Q310, INELGHD6, CLGPRD6 and CIP coding.
Respondents who reported a main field of study or specialisation that could not be coded were assigned the code 89.99.

Variable Name: CIP2RD6
Position: 112
Length: 3

Derived variable: Respondent's second main field of study or specialization (primary grouping).

Table 56
	Response	FREQ	WTD
001	Personal Improvement and Leisure	1	N/A
010	Education	20	N/A
020	Visual and Performing Arts, and Communications Technologies	7	N/A
030	Humanities	46	N/A
040	Social and Behavioural Sciences, and Law	44	N/A
050	Business, Management and Public Administration	50	N/A
060	Physical and Life Sciences, and Technologies	20	N/A
070	Mathematics, Computer and Information Sciences	10	N/A
080	Architecture, Engineering and Related Technologies	15	N/A
090	Agriculture, Natural Resources and Conservation	4	N/A
100	Health, Parks, Recreation and Fitness	15	N/A
110	Personal, Protective and Transportation Services	10	N/A
120	Other	19	N/A
996	Valid skip	6,275	N/A
999	Not stated	34	N/A
Total		6,570	N/A

Coverage: Respondents who had a valid post-secondary program.
Note: This variable was derived from the variable: CIP2D6.

Variable Name: THEPSD6
Position: 115
Length: 5

Derived variable: Total time spent with an employer in a co-op, apprenticeship, trade/vocational training or another program (e.g. practicum, internship or clinical) for this program.

Allowed values: 00001 : 99993

Table 57
	Response	FREQ	WTD
00001 : 08064	Number of hours with employer	2,303	N/A
99996	Valid skip	4,156	N/A
99999	Not stated	111	N/A
Total		6,570	N/A

Coverage: Respondents who attended an eligible post-secondary program between January 2008 and December 2009 and participated in a program which included on the job experience and/or time spent in a workplace.
Note: This variable was derived from the variables: H6Q419, H6Q422, H6Q423, H6Q424, H6Q425, H6Q426, H6Q427, H6Q428, H6Q429 and INELGHD6.

Variable Name: OPSPD6
Position: 120
Length: 2

Derived variable: Chronological order of post-secondary programs attended by respondent during 2008 and 2009.

Table 58
	Response	FREQ	WTD
01	1st program	4,811	N/A
02	2nd program	835	N/A
03	3rd program	94	N/A
04	4th program	17	N/A
05	5th program	3	N/A
06	6th program	1	N/A
07	7th program	0	N/A
08	8th program	0	N/A
09	9th program	0	N/A
96	Valid skip	777	N/A
99	Not stated	32	N/A
Total		6,570	N/A

Coverage: Respondents who took some post-secondary education between January 2008 and December 2009.
Note: This variable was derived from the variables : FPSPD6, NEPRCD6, INELGHD6, DSPRYD6, DSPRMD6 and PSPLNGID.
The derived variable orders the post-secondary programs a respondent has taken in this cycle from the earliest (first one taken) to the most recent.

Variable Name: PSPPOSID
Position: 122
Length: 4

Derived Variable: Post-secondary program position identifier which identifies the cycle and position where the data in this cycle for this program was collected.

Allowed values: 6101 : 6401

Table 59
	Response	FREQ	WTD
6101 : 6401	Program position identifier	6,570	N/A
Total		6,570	N/A

Coverage: Respondents with at least one post-secondary program.
Note: This variable was derived from the variables: INST_ID and PROG_ID.

Variable Name: PSPLNGID
Position: 126
Length: 4

Derived Variable: Post-secondary program longitudinal identifier which permits following a program across cycles.

Allowed values: 2101 : 6401

Table 60
	Response	FREQ	WTD
2101 : 6401	Program longitudinal identifier	6,570	N/A
Total		6,570	N/A

Coverage: Respondents with at least one post-secondary program.
Note: This variable was derived from the variables: C5OPENI, PSPLNGID (cycle 5), INST_ID and PROG_ID.

Variable Name: ICYID
Position: 130
Length: 1

Derived Variable: Post-secondary institution cycle identifier, which identifies the cycle where data was first collected for this institution.

Table 61

	Response	FREQ	WTD
1	Collection on this institution began in cycle 1	0	N/A
2	Collection on this institution began in cycle 2	6	N/A
3	Collection on this institution began in cycle 3	1,228	N/A
4	Collection on this institution began in cycle 4	1,111	N/A
5	Collection on this institution began in cycle 5	1,999	N/A
6	Collection on this institution began in cycle 6	2,226	N/A
Total		6,570	N/A

Coverage: Respondents with at least one post-secondary institution.
Note: This variable was derived from the variables: ICYID (cycle 5) and C5OPENI.

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Date modified:: 2024-11-26

Confirmation of Open Jobs from Cycle 5, Roster

Job Details Roster

Introduction

Objective

Description

Conclusion

Introduction

Objective

Description

Conclusion

1.1. Objective

1.2. Uses

1.3. Users

2.1. Concepts

2.2. Variables

2.3. Classification

6.1. Response and non-response

6.2. Methods used to reduce non-response at collection

Information for Respondents

Part I Government Operated Adult Custodial Services

Part II Privately Operated Adult Custodial Services

Part III Adult Non-Custodial Services

Cohort A - Education above High School (Institution Roster)

Cohort A - Education above High School (Program Roster)

Part I
Government Operated Adult Custodial Services

Part II
Privately Operated Adult Custodial Services

Part III
Adult Non-Custodial Services