Customary Marriages in Rural Pakistan

Med J Malaysia. 2017 Jun;72(3):175-178.

Abstract

Background: Although the incidents of customary marriages are frequently reported in Pakistani press, yet no large scale community-based study has ever been conducted to gauge the magnitude of such marriages. The present study is the first-ever community based study on this topic.

Methods: 4,385 ever-married women, aged 18-83 years, from six rural districts, were interviewed to enquire about the types of their marriages. The data was collected through interviews conducted by trained female interviewers and analysed through SPSS-20.

Results: Twelve percent marriages were the result of Vanni, Swara, Sang Chatti, Badal , Bazo i.e. to settle blood feuds; 58.7% were Watta-Satta / Pait Likhai i.e. exchange marriages and pledging a fetus; in 7.9% case bride was bought; 1.0% marriages were Badle-Sullah i.e to settle dispute other than murder and 0.1% women were married to Quran. The traditional marriages, where wishes of both families and consent of the couple to be married are also considered, constituted 20.3%. The prevalence of Vanni, Swara / Sang Chatti / Badal / Bazo was the highest in Balochistan (22-24%) followed by Sindh (5-17%) and the least in Punjab (0-4%). The other practices in Balochistan were selling the bride (10-17%), Badle-Sulah (3%) and marriage to Quran (1%). Watta Satta was most prevalent in Sindh (66-78%), where 3-13% brides were bought. In Punjab also Watta-Satta was common (44-47%), where 0.5-4% brides were bought and 0.3-3% marriages were Budle-Sullah.

Conclusions: Since laws against these harmful customs exist but are not applied forcefully, there is a great need to create massive awareness against such customs.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Culture*
  • Ethnicity / statistics & numerical data
  • Female
  • Humans
  • Interviews as Topic
  • Islam
  • Male
  • Marriage / ethnology*
  • Marriage / statistics & numerical data
  • Middle Aged
  • Pakistan
  • Rural Population / statistics & numerical data*
  • Young Adult