Household structure Household structure and marriage patterns

Population structure and change 14 Table 3.4 Population, by sex, marital status, and by age Age Sex, marital status Male Female Both Sexes Married Divorced, separated Widowed Never married Total Married Divorced, separated Widowed Never married Total Married Divorced, separated Widowed Never married Total In thousands 0-14 2 6,222 6,224 4 5,890 5,895 6 1 12,112 12,119 15-24 342 2 2,078 2,423 891 1 7 1,325 2,224 1,233 1 10 3,403 4,647 25-39 1,725 2 7 236 1,970 2,011 4 48 90 2,154 3,736 6 55 326 4,123 40-64 1,667 1 49 11 1,729 1,319 7 318 7 1,651 2,986 8 368 18 3,380 65+ 363 76 2 441 91 3 152 2 248 454 4 227 5 689 Total 4,098 4 135 8,549 12,786 4,317 16 526 7,314 12,172 8,415 20 660 15,863 24,958 In percentages 0-14 100 100 100 100 100 100 15-24 14 86 100 40 60 100 27 73 100 25-39 88 12 100 93 2 4 100 91 1 8 100 40-64 96 3 1 100 80 19 100 88 11 1 100 65+ 82 17 1 100 37 1 61 1 100 66 1 33 1 100 Total 32 1 67 100 35 4 60 100 34 3 64 100 While divorce and separation are practically invisible in the marital status distribution, the incidence of widowhood increases with age, especially for women. Whereas around 3 and 17 percent of men aged, respectively, 40-64 and over-65 are widowers, the corresponding figures for women are 19 and no less than 61 percent. In absolute numbers, Afghanistan has around 135 thousand widowers, but considerably more than half a million widows. The two major causes of this large number of widows are high male mortality in the last three decades of conflict in Afghanistan and large age differences between spouses. Irrespective of the cause, widowed women can be classified as being in a vulnerable position. The marital sex differentiation is clearly visible from Figure 3.3: women tend to get married earlier than men and become widowed earlier and in significantly larger shares. Figure 3.3 Population, by age, and by marital status, for a males and b females in percentage a.Male b.Female Early age at marriage for women – and early widowhood – is closely related to the practice of polygamy, as a polygamous marriage market creates an unequal demand for male and female spouses. The NRVA data indicate that around 6 percent of married women some 256 thousand are in union with a husband who has more than one wife. The incidence of polygamous marriages is higher over 10 percent among Kuchis and lower around 4 percent in the urban population. The NRVA data also allows the observation of significant social change in marriage patterns. Whereas on average in the older age group 60-69 husbands are more than eight years older than their wives, this age difference consistently declines to five years in the age group 15-24. Figure 3.4 shows that the share of couples with relatively small spousal age differences less than four years has dramatically increased for each younger age group of women from 16 percent among women age 70 and over to 54 percent of those under 20. At the same time, the shares of couples with large 10-19 years and very large 20 years or more age differences has similarly declined from 47 percent in the oldest age group to 12 percent in the youngest. This development toward a more balanced age pattern between spouses is likely to contribute to women’s empowerment within marriage and the family see also Section 10.2.1. With respect to the female age at first marriage, a noticeable decline of very early marriages can be observed. Whereas the 30-34 age cohort reported 11 percent of marriages contracted before reaching age 15, this has steadily declined to around three percent for the 15-19 age group. The percentage of women married before age 18 and 20 declined from, respectively 45 and 66 percent to 39 and 60 percent between the 30-34 and 20-24 age cohorts. As can be observed in Figure 3.4, the cohort-related pattern of increasing spousal age difference by age seem to be curbed in the age group of over-70. At the same time the share of women with younger husbands is significantly larger in this group. This phenomenon can be explained by the excess mortality of husbands who are much older, but probably also by the incidence of levirate marriage, a practice especially prevalent in the Pashtun population, whereby a widow is required to marry a – possibly younger – relative of her late husband. Figure 3.4 Spousal age difference, by current age of wife percentage distribution

3.4 Fertility and mortality

3.4.1 Total Fertility Rate

High fertility tends to increase poverty by slowing per capita economic growth and by skewing the distribution of consumption against the poor. It also has adverse effects to the health of mothers and children, and reduces female access to education, gainful employment and other personal development opportunities. The determinants and compounding factors of high fertility are many, but generally include poor health services especially related to information about and provision of family planning, limited knowledge of contraceptive methods cf. MRRD-CSO 2007 2 , low contraceptive prevalence see section 8.4.1 of this report, low education and limited empowerment of women see Section 10.2.1 on reproductive decision making in the household. The Total Fertility Rate TFR was added to the Afghan Millennium Development Goals MDGs because of the particular importance of high fertility to Afghanistan Government of Afghanistan 2009. __________________________________________________________________________________________ 2 The NRVA 2005 indicated that only 31 percent of married women had heard about methods to avoid pregnancies. Population structure and change 15