Modeling the Amount of Waste Generated by Households in the Greater Accra Region Using Artificial Neural Networks

Table 1

Table showing districts with number of households, proportional rates, and sample size.

District	House type	Res. status	Comm. type	Household size	Religion		Waste (tonnes)
1	1	1	1	4	1		7.6472
1	1	2	2	6	1		11.4708
1	3	1	3	13	1		24.8534
⋮	⋮	⋮	⋮	⋮	⋮		⋮
2	2	3	2	6	1		60.7554
2	1	3	2	5	1		50.6295
2	4	1	2	20	1		202.518
⋮	⋮	⋮	⋮	⋮	⋮		⋮
3	2	2	2	10	1		106.885
3	5	3	3	8	2		85.508
3	4	2	3	35	2		374.0975
⋮	⋮	⋮	⋮	⋮	⋮		⋮
4	4	2	3	20	1		319.672
4	4	2	3	4	1		63.9344
4	3	1	3	6	1		95.9016
⋮	⋮	⋮	⋮	⋮	⋮		⋮
9	3	1	2	5	1		24.727
9	4	2	2	6	1		29.6724
9	3	1	2	5	1		24.727
⋮	⋮	⋮	⋮	⋮	⋮		⋮
15	2	2	1	5	1		103.9705
15	2	1	1	9	1		187.1469
15	4	2	2	20	1		415.882

Districts: (1) Ablekuma, (2) Adenta, (3) Ashiedu Keteke, (9) Kpone Katamaso, (10) La Dade-Kotopon, and (15) Tema Metropolitan. House type: (1) standalone, (2) semidetached, (3) flat/apartment, (4) compound house/single room, (5) tent/kiosk/containers, and (6) uncompleted buildings. Residency type: (1) self-ownership, (2) rental, and (3) other. Community type: (1) high income, (2) medium income, and (3) low income. Religion: (1) Christians, (2) Muslims, (3) traditional, (4) atheists, and (5) other. Source: primary data collection.