Regional analysis of the mortality compression process in Argentina

Acosta, Laura Débora

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Revista Brasileira de Estudos de População

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ARTÍCULO ORIGINAL • Rev. bras. estud. popul. 38 • 2021 • https://doi.org/10.20947/S0102-3098a0157 copy

Regional analysis of the mortality compression process in Argentina

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The aim of this work is to analyze the characteristics of the evolution of mortality in the last 20 years in Argentina, based on the study of the process of compression of mortality, according to sex and geographic region. Compression of mortality was analyzed, according to the methodology proposed by Kannisto (2000) through the analysis of survival curves and deaths from life tables. Life tables were constructed for the last three census periods available. To soften them, they were based on the average of three-year deaths: 1990-1992, 2000-2002, 2009-2011. The results indicate that, in men and women in the various regions of Argentina, there is a trend to convergence in compression of mortality, although it is still late in the Northeast region. These data would indicate that there is a tendency towards convergence in the process of compression of mortality inside the country, although differences persist in some regions.

Key words
Mortality; Aging population; Argentina

1990-1992 Hombres									1990-1992 Mujeres
Región	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50
Caba	3021	69,33	80,4	11,1	6,0	7,33	1,22	18,0	3763	77,08	83,4	6,3	6,6	7,75	1,17	15,0
Pampeana	2952	69,07	80,1	11,0	6,3	7,81	1,24	18,3	3961	76,12	83,1	7,0	6,3	7,52	1,20	14,5
Noroeste	2855	69,06	76,8	7,7	9,1	10,69	1,18	20,3	3074	74,58	78,6	4,0	9,9	11,34	1,14	17,8
Noreste	2789	67,78	76,4	8,6	8,3	10,47	1,25	19,8	3287	73,21	82,8	9,6	7,0	8,07	1,15	17,2
Cuyo	3057	69,60	78,2	8,6	7,8	9,43	1,21	17,8	3742	75,17	82,8	7,7	6,5	7,54	1,16	15,1
Patagonia	2889	69,35	76,5	7,2	8,5	10,17	1,19	19,2	3130	78,13	78,6	0,5	10,8	12,04	1,12	17,2
2000-2002 Hombres									2000-2002 Mujeres
Región	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50
Caba	3141	71,68	81,7	10,1	6,1	7,21	1,18	17,8	3894	79,33	85,5	6,2	6,3	7,24	1,15	14,5
Pampeana	3080	70,35	81,5	11,2	6,0	7,28	1,22	18,0	3733	78,28	84,7	6,4	6,6	7,56	1,14	15,2
Noroeste	2908	70,43	78,2	7,8	8,5	10,12	1,20	19,3	3076	77,73	85,0	7,2	7,9	8,49	1,08	17,0
Noreste	2877	69,47	77,8	8,3	8,0	9,5	1,18	19,1	3031	75,99	83,8	7,8	7,9	8,74	1,11	17,7
Cuyo	3111	71,54	81,2	9,6	6,0	7,42	1,25	17,6	3547	77,92	84,1	6,2	7,0	8,18	1,17	15,7
Patagonia	3005	71,7	78,1	6,4	8,3	9,97	1,21	18,5	3200	79,81	86,4	6,6	7,5	8,08	1,08	16,0
2009-2011 Hombres									2009-2011 Mujeres
Región	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50	d(M)	e(0)	M	M-e(0)	e(M)	DS (M+)	DS(M+)/ e(M)	C50
Caba	3358	74,37	82,0	7,6	6,7	7,83	1,17	16,9	4068	80,62	86,8	6,1	5,9	6,60	1,12	13,9
Pampeana	3348	72,30	81,6	9,3	6,1	7,23	1,19	17,0	3884	78,94	86,2	7,2	5,9	6,88	1,17	14,6
Noroeste	3076	72,12	81,2	9,1	7,0	8,42	1,21	18,1	3317	78,43	86,1	7,7	6,8	7,73	1,13	16,3
Noreste	2972	70,89	80,2	9,3	7,2	8,68	1,22	18,4	3254	77,42	83,8	6,4	7,6	8,45	1,11	16,8
Cuyo	3339	73,36	81,5	8,1	6,6	7,82	1,19	16,8	3666	79,00	86,2	7,2	6,1	7,04	1,16	15,1
Patagonia	3143	73,29	81,0	7,7	7,2	8,39	1,16	17,6	3568	80,45	87,0	6,6	6,6	7,47	1,12	15,1

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