Usefulness of occupation and industry information in mortality data in South Africa from 2006 to 2015

BMC Public Health

Table 4 Description of demographic data in pneumoconiosis deaths compared to other causes of death

	Pneumoconiosis (n = 452) %	Other causes (n = 1,362,940) %	P value
Sex (Male)	73.6	52.3	< 0.001
Death Year			< 0.001
2013	44.5	33.3
2014	31.0	32.9
2015	24.6	33.7
Marital status			< 0.001
Never married	25.9	52.2
Married	55.8	32.1
Divorced or Widowed	18.2	15.7
Smoking			0.017
Non smoker	19.3	18.6
Smoker	46.4	40.8
unknown	34.2	40.6
Education			0.017
None	19.9	16.7
Any primary school	41.1	33.9
Any high school	36.0	45.7
Tertiary	3.0	3.7
Province of Death			< 0.001
Eastern Cape	13.3	14.9
Free State	7.9	7.2
Gauteng	15.8	21.3
KwaZulu-Natal	10.0	17.7
Limpopo	13.1	10.1
Mpumalanga	5.6	7.5
Northern Cape	12.2	3.0
North West	9.5	7.5
Western Cape	12	10.7
Outside SA	0.7	0.2
Mean Age (SD)	68.(12.9)	56.(20)	< 0.001
Occupation Group			< 0.001
Occupation unspecified	78.9	85.5
Legislators and senior officials	1.1	0.5
Professionals	2.0	1.7
Technicians and associate professionals	1.3	0.6
Clerks	0.2	0.6
Service Workers	1.1	1.7
Skilled agricultural	1.1	0.8
Craft and trade	2.7	1.5
Plant and Machine operators	6.0	1.8
Elementary occupation	5.6	5.2

ISSN: 1471-2458