Spatio-temporal Variations in fertility Pattern of Punjab Pakistan

Abstract

Containing over 90 big region, even big Muslim World. It c worlds sixth biggest has grown as a resul needs an appropriate ingredient. This stud Punjab. The analysi measured at district presented by using a summery measures h fertility levels. Thes te (CBR), general fertility rate (GFR), child woman ratio (CWR), marital fertility rate (MFR), gross reproduction rate (GRR), age specific fertility rate (ASFR) and total fertility rate (TFR). CWR has been computed for 1981 and 1998 censu l o hich is the latest availabl The spatial pattern of fertility computed from these measures has been presented statis cally and cartographically. The results indicate that fertility levels of the districts of sam as well as rural-urban areas of the same districts vary markedly. Some of nsiderably high rate of fertility than others. This may reasonably be differences in their level of socio-economic development. The stud development at distr growth can be slowe KEY WORDS: Punjab, Fertility pattern, Fertility measures. Introduction Population size of any region at any given period of time is essentially the outcome of interaction between fertility, mortality and migration. These dynamic ies l of South Asian St uary-June 2011, pp. 153-180 stan rsity of Bahawalpur, Bahawalpur million inhabitants, population wise Punjab Province of Pakistan is a ger than many of the world’s countries and most of the countries of ontributes about 56% to the country’s total population which is the with regard to population size. The rate at which population of Punjab t of natural increase is a matter of national consequence and, therefore, look. In this regard, study of fertility levels attains the status of basic y is aimed at to present a clearer picture of fertility levels and pattern in s of fertility levels in spatial perspective is based on the census data level. A satisfactory picture of the spatial pattern of fertility can’t be ny single measure of fertility. Therefore, seven different sets of basic ave been used to compute fertility, which provide a reliable picture of e measures include crude birth ra s data whereas al ther measures are based on 1998 census data w e. ti e province the districts show co attributed to the y thus suggests that by increasing the pace of socio-economic ict level, fertility rates can be reduced and process of rapid population d down.