A Case Study of Pakistan Determinants of Female Labour Force in South Asia Figure 7: FLFP in Pakistan by region and province KPK 100 80 38.44 60 71.76 70.39 73.93 62.1 40 61.56 20 28.24 29.61 26.07 37.9 0 First Second Third Fourth Fi fth Quin ti le Quin ti le Quin ti le Quin ti le Quin ti le Urban Rural Sindh 100 80 48.18 60 90.36 87.44 76.7 70.17 40 20 51.82 23.3 29.83 0 9.64 12.56 First Second Third Fourth Fi fth Quin ti le Quin ti le Quin ti le Quin ti le Quin ti le Urban Rural Punjab 100 80 50.47 60 79.04 80.07 74.04 65.55 40 20 20.96 19.93 25.96 34.45 49.53 0 First Second Third Fourth Fi fth Quin ti le Quin ti le Quin ti le Quin ti le Quin ti le Urban Rural Baluchistan 100 80 45 47.06 45.28 31.03 27.33 60 40 68.97 72.67 20 55 52.94 54.72 0 First Second Third Fourth Fi fth Quin ti le Quin ti le Quin ti le Quin ti le Quin ti le Urban Rural Source: Author’s own calculations based on LFS 2017-18 Since the aim of the report was to analyze how different levels of education impacts FLFP rates so a comparison was drawn between different provinces with respect to education levels but first, look at the literacy statistics. The literacy rates of the population in Pakistan show a stark difference between men and women with men outperforming women in all of the provinces. According to the LFS 2017-18, men had 73.3%, 72.2%, 72.8%, 73.0% in KP, Punjab, Sindh and Balochistan respectively whereas for women it was only 38.5%, 57.4%, 49.9%, 33.5%(province-wise)(Pakistan Bureau of Statistics, 2017). Furthermore, for all the four provinces, as the total household income increases, the LFP of women with higher education increases manifolds and the LFP of women with no formal education decreases with increasing household income. This is in line with the analysis explained in the later section of the report on how factors such as women’s education, income, type of contract are all correlated. 25