Adult death registration in Matlab, rural Bangladesh: completeness, correlates, and obstacles

Genus

Journal of Population Sciences

Table 3 Characteristics of deceased adults by sex, Adult mortality estimation and validation survey, 2019–2020

Characteristics	Weighted percentage			Weighted number			Unweighted number
Characteristics	Male	Female	Both	Male	Female	Both	Male	Female	Both
Sex distribution^a	56.0	44.0	100.0	-	-	-	-	-	-
Total	100.0	100.0	100.0	320	251	571	355	216	571
Age at death
15–34^b	3.5	4.1	3.7	11	10	21	39	33	72
35–44	3.8	2.8	3.4	12	7	19	43	26	69
45–54	12.3	4.1	8.7	39	10	50	98	27	125
55–64	22.5	11.5	17.6	72	29	101	90	36	126
65–74	27.1	22.1	24.9	87	55	142	37	24	61
75–84	23.0	36.3	28.8	74	91	165	27	30	57
≥ 85	7.9	19.2	12.9	25	48	73	21	40	61
Wealth quintile
Lowest	19.4	18.3	18.9	62	46	108	79	43	122
Second	21.3	16.6	19.3	68	42	110	64	44	108
Middle	15.7	20.9	18.0	50	52	103	64	41	105
Fourth	24.5	15.9	20.7	78	40	118	72	31	103
Highest	12.3	17.2	14.5	39	43	83	51	34	85
Missing	6.8	11.1	8.7	22	28	50	25	23	48
Cause of death
Injuries/accident	5.1	1.4	3.5	16	3	20	29	6	35
Other natural	94.9	98.6	96.5	304	247	551	326	210	536
Place of death
Facility	21.9	13.9	18.4	70	35	105	112	48	160
Out of facility	78.1	86.1	81.6	250	216	466	243	168	411
Year of death
2016	27.1	26.9	27.0	87	67	154	88	56	144
2017	26.0	25.6	25.8	83	64	148	102	59	161
2018	30.1	24.6	27.7	96	62	158	115	55	170
2019^b	16.7	22.9	19.4	54	57	111	50	46	96

^a10-year age groups 15–24 and 25–34 are collapsed into one due to very small numbers
^bDeaths in 2019 include one death in early 2020