The rural population, notwithstanding the clear improvements achieved, still appears to be prone to shocks, and a bad harvest or a particularly dry growing season could easily push a vast majority of rural households back into poverty. Urban households look less vulnerable: only 40 percent are living below the 180 percent line, and about 20 percent are living below the 140 percent line. At the national level, the Figures 2.8 and 2.9 plot the growth incidence curves for 2005–12. upper percentiles clearly benefitted from a greater growth in consumption than the rest of the distribution. At the top of the distribution (the 98th percentile), one may detect a decline, but the standard deviation is too high and the confidence interval too broad to consider this conclusive evidence. Below the 70th percentile, the rate of growth is rather homogenous at around 20–22 percent. In the lower part of the distribution, there is a little peak, but the standard deviation is again too high for this to be considered conclusive. Figure 2.8 Growth Incidence Curves, 2005–12 Calculations based on GLSS 5–6. Source: Figure 2.9 Growth Incidence Curves, by region, 2005–12 Calculations based on GLSS 5–6. Source: Consumption grew much more quickly in Greater Accra than in the rest of the country; there, overall consumption increased more than the national average (figure 2.8, top-right quadrant). The hump we detect in the nationwide curve is partially generated by households in
The rural population, notwithstanding the clear improvements achieved, still appears to be prone to shocks, and a bad harvest or a particularly dry growing season could easily push a vast majority of rural households back into poverty. Urban households look less vulnerable: only 40 percent are living below the 180 percent line, and about 20 percent are living below the 140 percent line. Figures 2.8 and 2.9 plot the growth incidence curves for 2005–12. At the national level, the upper percentiles clearly benefitted from a greater growth in consumption than the rest of the distribution. At the top of the distribution (the 98th percentile), one may detect a decline, but the standard deviation is too high and the confidence interval too broad to consider this conclusive evidence. Below the 70th percentile, the rate of growth is rather homogenous at around 20–22 percent. In the lower part of the distribution, there is a little peak, but the standard deviation is again too high for this to be considered conclusive. Figure 2.8 Growth Incidence Curves, 2005–12 Source: Calculations based on GLSS 5–6. Figure 2.9 Growth Incidence Curves, by region, 2005–12 Source: Calculations based on GLSS 5–6. Consumption grew much more quickly in Greater Accra than in the rest of the country; there, overall consumption increased more than the national average (figure 2.8, top-right quadrant). The hump we detect in the nationwide curve is partially generated by households in
Poverty0and0Inequality0Profile.docx