India is the second largest populated country in the world which accounts about 1.21 billion population. India is a socio economically backward country because of large population base, high population growth rate, high dependency ratio,...
moreIndia is the second largest populated country in the world which accounts about 1.21 billion population. India is a socio economically backward country because of large population base, high population growth rate, high dependency ratio, low literacy rate, low per capita income, high fertility and mortality rate etc. Uttar Pradesh is a largest population concentrates state in India. Fertility may be defined as the actual reproductive performance of an individual, a couple, a group, or a population. The fertility data were collected by asking all women of reproductive age (15-49 years) to provide complete birth histories of all children they had given birth to, those who were currently living with them, those who were living away, and those who had died. Fertility is one of the three principal components of population dynamics, the others being mortality and migration (United Nations, 1973). Total fertility rate (TFR) which is considered to be a good measure of reproductive performance is defined as "the total number of children that would ever be born to a (hypothetical) group of women, if the group passed through its reproductive span of life with these rates in each year" (Communication Action Research Centre, ISI, Calcutta, p. 34). The level of fertility in a population affects not only its current size, but also has a significant impact on its future rate of growth, as well as the current and future age structure of the population. Study of fertility differentials is useful in identifying the factors which determine fertility level among various sub groups. There are several factors which are responsible for fertility differentials. These include ecological factors, regional differences, rural urban residence, educational attainment, economic status, occupation, employment of woman, religion, cast, race, age and sex structure etc...Therefore, for study of fertility differentials several factors combined together are always taken in to consideration. The identification and explanation of spatial variation in fertility has been considered as an important component of the sub disciplines of population geography and spatial demography.(Boyle 2003,Coward 1986,jones 1984).There are few studies that attempted to explain the variation of fertility in the districts of India, mainly using data from the Indian census. Bhat (1996), using 1991 census data of selected districts of India, found that joint family (other than nuclear family), the proportion of Muslims, the proportion of scheduled tribes, child mortality, unmet need for contraception, and agricultural and child labor have strong positive effects, while female age at marriage, female literacy, media exposure, and population density have negative effects on fertility. Dreze and Murthi (2001), using district level data from the 1981 and 1991 census, showed that female education and child mortality are important factors in explaining fertility differentials among districts of India. While districts with a higher proportion of Muslims tend to have significantly higher fertility, it was not so with respect to scheduled tribes. Their study shows that region is an important factor in explaining fertility differentials. Recently fertility rates have been found to be declining in India, but there are great inter-and intra-regional variations. Fertility differentials are not observed in those parts of the country where fertility decline has become well established. But some regions still have high fertility levels and have fertility differentials by education, income, occupation, etc. Different fertility regulation mechanisms such as use of modern contraceptives, termination of pregnancies and delayed marriages that have contributed much towards fertility reduction in urban areas are not available in rural areas to play similar roles (Markos, 1997).Fertility is a dynamic elements in demography. In general to understand fertility, not only the study of major portion of all demographic characters, but study of fundamental elements in social structure and the human condition are necessary. (Day-1983). Average fertility rate in India is lower than U.P. According to 2011 Total Fertility rate in U.P was 3.6 per woman and 2.6 in India. Cured Birth rate is also high in Uttar Pradesh in 2011. It was 27.4 in U.P and 21.2 in India. The main aims and objectives of this study is to investigate the fertility trends and differentials in Uttar Pradesh during