Table 2 Sociodemographic distribution of the full sample (n = 272,901), and among those gaining NCEA Level 1 Certificate at Year 11 (n = 205,638, 75.4%), and among those being stood-down or suspended in school Years 9–11 (n = 26,748, 9.8%).

From: A national multiple baseline cohort study of mental health conditions in early adolescence and subsequent educational outcomes in New Zealand

 

Full sample

Educational outcomes

Gained NCEA Level 1

Stood-down/suspended

n (%)

n (%)

n (%)

Sex

 Female

133,584 (48.9)

106,215 (51.7)

9258 (34.6)

 Male

139,317 (51.1)

99,423 (48.3)

17,490 (65.4)

Ethnicity

 European/other

199,647 (73.2)

158,520 (77.1)

15,852 (59.3)

 Māori

74,481 (27.3)

46,293 (22.5)

13,578 (50.8)

 Pacific peoples

36,354 (13.3)

23,817 (11.6)

5571 (20.8)

 Asian

30,657 (11.2)

24,516 (11.9)

1113 (4.2)

 MELAA

3717 (1.4)

2865 (1.4)

291 (1.1)

Deprivation

 1 (least deprived)

61,242 (22.4)

52,614 (25.6)

2547 (9.5)

 2

51,867 (19.0)

42,525 (20.7)

3186 (11.9)

 3

47,787 (17.5)

37,212 (18.1)

4065 (15.2)

 4

47,805 (17.5)

34,206 (16.6)

5688 (21.3)

 5 (most deprived)

60,090 (22.0)

35,724 (17.4)

10,932 (40.9)

Residential location

 Urban

230,604 (84.5)

172,035 (83.7)

22,899 (85.6)

 Rural

38,493 (14.1)

30,480 (14.8)

3555 (13.3)

Parents highest educational attainment

 Not reported

45,522 (16.7)

28,365 (13.8)

7626 (28.5)

 No qual

25,770 (9.4)

14,007 (6.8)

5226 (19.5)

 School qual

72,369 (26.5)

54,225 (26.4)

7266 (27.2)

 Post school qual

59,439 (21.8)

48,681 (23.7)

4155 (15.5)

 University qual

69,807 (25.6)

60,366 (29.4)

2475 (9.3)

Household Income (NZD)

 Not reported

70,023 (25.7)

45,312 (22.0)

10,818 (40.4)

 ≤ $25,000

19,191 (7.0)

11,880 (5.8)

3057 (11.4)

 $25,001–$50,000

33,891 (12.4)

23,706 (11.5)

4209 (15.7)

 $50,001–$100,000

74,802 (27.4)

59,904 (29.1)

5616 (21.0)

 $100,001–$150,000

41,706 (15.3)

35,844 (17.4)

1950 (7.3)

 > $150,000

33,291 (12.2)

28,995 (14.1)

1095 (4.1)

  1. Data source is the NZ-IDI. Counts and column percentages for ethnicity do not add to 100%, because the total response ethnicity coding is used where categories are not mutually exclusive—an individual may belong to more than one ethnic group; 1.5% of the sample were missing for deprivation; 1.4% were missing the urban/rural indicator; 0.01% were missing data for ethnicity.