Table 1 Demographic characteristics by sex and sibship composition in Study 1 and Study 2.

From: Revisiting a basic question: does growing up in either female or male environment affect sex differences in academic strengths and occupational choices?

Variable

Study 1

Study 2

 

GGG (n = 4317)

BGB (n = 3679)

BBB (n = 5205)

GBG (n = 4032)

GG(n = 26,528)

BG (n = 31577)

BB (n = 28,794)

GB (n = 31,016)

Birth cohort

1973

438 (10.1)

394 (9.8)

558 (10.7)

369 (10)

3518 (13.3)

4140 (13.1)

3857 (13.4)

4077 (13.1)

1974

469 (10.9)

427 (10.6)

577 (11.1)

385 (10.5)

3514 (13.2)

4099 (13)

3611 (12.5)

3994 (12.9)

1975

452 (10.5)

429 (10.6)

559 (10.7)

390 (10.6)

3193 (12)

3835 (12.1)

3527 (12.2)

3740 (12.1)

1976

496 (11.5)

435 (10.8)

642 (12.3)

394 (10.7)

2978 (11.2)

3552 (11.2)

3165 (11)

3419 (11)

1977

541 (12.5)

489 (12.1)

556 (10.7)

432 (11.7)

,2798 (10.5)

3269 (10.4)

3112 (10.8)

3342 (10.8)

1978

495 (11.5)

428 (10.6)

534 (10.3)

399 (10.8)

2599 (9.8)

3114 (9.9)

2859 (9.9)

3030 (9.8)

1979

477 (11)

479 (11.9)

565 (10.9)

445 (12.1)

2665 (10)

3112 (9.9)

2823 (9.8)

3097 (10)

1980

461 (10.7)

461 (11.4)

649 (12.5)

423 (11.5)

2711 (10.2)

3293 (10.4)

3082 (10.7)

3270 (10.5)

1981

481 (11.1)

486 (12.1)

562 (10.8)

440 (12)

2532 (9.5)

3141 (9.9)

2750 (9.6)

3036 (9.8)

1982

7 (0.2)

4 (0.1)

3 (0.1)

2 (0.1)

20 (0.1)

22 (0.1)

8 (0)

11 (0)

Sibship type

 Siblings with identical parents

3928 (91)

3544 (87.9)

4797 (92.2)

3282 (89.2)

25,015 (94.3)

29,741 (94.2)

27,545 (95.7)

29,227 (94.2)

Education

 Lower than Bachelor’s degree

1599 (37)

1507 (37.4)

2707 (52)

1950 (53)

8911 (33.6)

10,742 (34)

14,249 (49.5)

15,573 (50.2)

 Bachelor’s degree

573 (13.3)

484 (12)

6,99 (13.4)

536 (14.6)

3446 (13)

4096 (13)

4230 (14.7)

4451 (14.4)

 Master’s degree or higher

2145 (49.7)

2041 (50.6)

1799 (34.6)

1193 (32.4)

14,171 (53.4)

16,739 (53)

10,315 (35.8)

10,992 (35.4)

Occupation at age 35

 Legislators, sen. officials, managers

164 (3.8)

158 (3.9)

357 (6.9)

265 (7.2)

1253 (4.7)

1509 (4.8)

2342 (8.1)

2382 (7.7)

 Professional occupations

1422 (32.9)

1315 (32.6)

1360 (26.1)

901 (24.5)

8968 (33.8)

10,688 (33.8)

8037 (27.9)

8647 (27.9)

 Technicians and associate professionals

1025 (23.7)

991 (24.6)

1065 (20.5)

798 (21.7)

6829 (25.7)

8055 (25.5)

6432 (22.3)

6908 (22.3)

 Clerks and customer service personnel

346 (8)

309 (7.7)

252 (4.8)

154 (4.2)

2274 (8.6)

2648 (8.4)

1320 (4.6)

1454 (4.7)

 Service workers and sales personnel

1057 (24.5)

1006 (25)

474 (9.1)

336 (9.1)

5626 (21.2)

6810 (21.6)

2626 (9.1)

2732 (8.8)

 Skilled agricultural and fishery workers

32 (0.7)

25 (0.6)

89 (1.7)

67 (1.8)

157 (0.6)

212 (0.7)

369 (1.3)

417 (1.3)

 Crafts and related trades workers

38 (0.9)

32 (0.8)

822 (15.8)

587 (16)

214 (0.8)

223 (0.7)

3892 (13.5)

4197 (13.5)

 Machine operators, incl. transport

116 (2.7)

87 (2.2)

642 (12.3)

463 (12.6)

547 (2.1)

645 (2)

3010 (10.5)

3448 (11.1)

 Occupations not requiring training

117 (2.7)

109 (2.7)

144 (2.8)

108 (2.9)

660 (2.5)

787 (2.5)

766 (2.7)

831 (2.7)

  1. Percentages are depicted in parentheses GGG = Mid-born girls with younger and older sisters; BGB = Mid-born girls with younger and older brother; BBB = Mid-born boys with younger and older brothers; GBG = Mid-born boys with younger and older sisters, GG = Last-born girls with older sister; BG = Last-born girls with older brother; BB = Last-born boys with older brother; GB = Last-born boys with older sister.