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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