Research Article

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

Table 3

Descriptive statistics of some important independent variables.

Input variableCategoriesNAverage wasteStd. error

DistrictsLedzekuku Krowor218339.354119.5854
Tema West128268.211425.9443
Asheidu Keteke14598.11315.7312
Ashaiman12795.14657.3129
Ayawaso West10871.61736.1112
Kpone Katamanso14050.56091.7668
Adenta5643.03513.8554
La Nkwantanang15235.83801.0795
Tema East10035.16882.1869
Ablekuma16226.83601.3132
La Dade-Kotopon13625.30880.8195
Korle Klottey15817.11200.9357
Ayawaso East15916.67440.4495
Okaikoi South15010.50410.5572
Okaikoi North1635.40720.1378

Employment categoryFormal95987.54435.6529
Informal107181.95694.6827
Retired (formal)5478.451012.6877
Retired (informal)1128.87947.7272
Others717.73226.4310

Dominant religionChristian171685.39594.0806
Muslim36778.75206.6658
Traditional1562.79189.6645
Other46.46820.7909

House typeFlat/apartment497150.05952.4592
Semidetached296111.26526.2138
Uncompleted building31582.860016.8051
Compound/single room82281.43255.3214
Tent/kiosk/containers13746.67973.8222
Standalone3540.18739.7802