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Table 1 Socio-demographic indicators of the current use and non-use of contraceptive among women in reproductive age in Pakistan (all PDHS, n = 25,415, weighted n = 25,318)

From: Demand- and supply-side factors associated with the use of contraceptive methods in Pakistan: a comparative study of demographic and health surveys, 1990–2018

 

Current use of contraceptives

Current non–use of contraceptives

1990–1991

(n = 521)

2006–2007

(n = 1574)

2012–2013

(n = 2674)

2017–2018

(n = 2783)

1990–1991

(n = 3501)

2006–2007

(n = 4132)

2012–2013

(n = 4697)

2017–2018

(n = 5436)

f (%)

f (%)

f (%)

f (%)

f (%)

f (%)

f (%)

f (%)

Age (in years)

        

 15–25

128 (24.6)

331 (21)

651 (23.6)

583 (20.9)

1300 (37.1)

1448 (35.0)

1585 (33.7)

1848 (34)

 26–34

282 (54.1)

887 (56.4)

1543 (55.8)

1623 (58.3)

1611 (46.0)

1931 (46.7)

2309 (49.2)

2677 (49.2)

 36–49

111 (21.3)

356 (22.6)

570 (20.6)

577 (20.7)

590 (16.9)

753 (18.2)

803 (17.1)

911 (16.8)

Type of residence

 Rural

113 (21.7)

779 (50.5)

1507 (54.5)

1490 (53.5)

1903 (54.4)

2921 (70.7)

1771 (33.7)

2216 (40.8)

 Urban

408 (78.3)

795 (49.5)

1257 (45.5)

1293 (46.5)

1598 (45.6)

1211 (29.3)

2926 (62.3)

3220 (59.2)

Region

 Punjab

219 (42)

775 (49.2)

905 (32.7)

696 (25.0)

1133 (32.4)

1519 (36.8)

1103 (23.5)

1030 (18.9)

 Sindh

169 (32.4)

371 (23.6)

504 (18.2)

457 (16.4)

896 (25.6)

1250 (30.3)

1087 (23.1)

984 (18.1)

 Khyber Pakhtunkhwa

107 (20.5)

322 (20.5)

518 (18.7)

516 (18.5)

936 (26.7)

791 (19.1)

1014 (21.6)

866 (15.9)

 Balochistan

26 (5)

106 (6.7)

270 (9.8)

182 (6.5)

538 (25.3)

572 (13.8)

879 (18.7)

820 (15.1)

 Gilgit Baltistan

264 (9.6)

246 (8.8)

445 (9.5)

368 (6.8)

 Islamabad (ICT)

303 (11.0)

256 (9.2)

169 (3.6)

285 (5.2)

 AJK

272 (9.8)

590 (10.9)

 Federally Administered Tribal Areas

158 (5.7)

493 (9.1)

Wealth index

 Poor

376 (23.9)

758 (27.4)

835 (30.0)

2141 (51.8)

2348 (50)

2817 (51.8)

 Middle

329 (20.9)

515 (18.6)

619 (22.2)

788 (19.1)

914 (19.5)

990 (18.2)

 Rich

869 (55.2)

1491 (53.9)

1329 (47.8)

1203 (29.1)

1435 (30.6)

1629 (30.0)

Mother’s education

 No education

236 (45.3)

826 (52.2)

1148 (41.5)

1033 (37.1)

2851 (81.4)

2972 (71.9)

2973 (63.3)

3101 (57.0)

 Primary

72 (13.8)

270 (17.2)

455 (16.5)

420 (15.1)

299 (8.5)

518 (12.5)

610 (13)

673 (12.4)

 Secondary

181 (34.7)

300 (19.1)

648 (23.4)

739 (26.6)

318 (9.1)

459 (11.1)

725 (15.4)

1000 (18.4)

 Higher

32 (6.1)

178 (11.3)

513 (18.6)

591 (21.2)

33 (0.9)

183 (4.4)

389 (8.3)

662 (12.2)

Respondent’s occupation

 Not working

450 (86.4)

1166 (75.6)

2213 (80.1)

2372 (85.3)

2965 (84.8)

2915 (72.1)

3723 (79.3)

4753 (87.5)

 Skilled

10 (1.9)

180 (11.7)

234 (8.5)

94 (3.4)

215 (6.1)

521 (12.9)

559 (11.9)

216 (4.0)

 Unskilled

41 (7.9)

127 (8.2)

40 (1.4)

191 (6.9)

281 (8.0)

530 (13.1)

76 (1.6)

341 (6.3)

 Professional

20 (3.8)

69 (4.5)

277 (10.0)

124 (4.5)

37 (1.1)

79 (2.0)

338 (7.2)

125 (2.3)

Ethnicity

 Punjabi

568 (37.2)

738 (26.7)

1023 (25.7)

818 (17.4)

 Sindhi

140 (9.2)

181 (6.6)

679 (17.0)

561 (11.9)

 Pashto

342 (22.4)

583 (21.1)

930 (23.3)

1116 (23.8)

 Balochi

40 (6.2)

81 (2.9)

274 (6.9)

269 (5.7)

 Others

437 (28.6)

1179 (42.7)

1080 (27.1)

1931 (41.1)

  1. In each sub-sample data was weighted, leading to differences in absolute values
  2. Overall, 585 cases had missing values