Table 3 Binary logistics regression analysis of un-iodized salt availability among Ethiopian households using the Ethiopian Demographic and Health Survey 2016 data

Place of residence

Urban

1

1

Rural

1.57(1.41,1.74)

1.18(0.96,1.44)

Sex of the household head

Male

1

1

Female

1.11(1.01, 1.22)

1.05 (0.93,1.19)

Wealth index of the household

Poorest

1

1

Poorer

0.54(0.47, 0.62)

0.55(0.48, 0.64)*

Middle

0.50(0.42, 0.58)

0.51(0.44, 0.60)*

Richer

0.51(0.44, 0.60)

0.55(0.47, 0.64)*

Richest

0.45(0.40, 0.50)

0.61(0.50, 0.75)*

Marital status

Never

1

1

Married

1.26(1.01,1.58)

0.86(0.68, 1.10)

Widowed

1.42(1.10, 1.82)

0.87(0.67, 1.15)

Divorced

1.21(0.92, 1.59)

0.82(0.62, 1.10)

Education level

No education

1

1

Primary

0.77(0.70, 0.86)

0.90(0.80, 1.002)

Secondary

0.59(0.49, 0.70)

0.72(0.60, 0.87)*

Higher

0.43(0.35, 0.52)

0.54(0.43, 0.67)*

Do not know

0.59(0.25, 1.39)

0.67(0.29, 1.58)

Communities’ health facility access

Distance big problem

1

1

Distance not a big problem

0.89(0.81, 0.98)

0.93(0.84, 1.03)

Communities’ media use

Low

1

1

High

1.06(0.98, 1.17)

1.00(0.91, 1.11)

Communities’ altitude of residence

Below 2200 m above sea level

1

1

2200 and above

1.18(1.07, 1.30)

1.16(1.05, 1.29)*