Consumo, ingresos y transferencias aplicando las proyecciones demográficas.xlsx

	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y
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2			Per capita Consumption by Children and the Elderlya						Support Ratios (effective number of producers per 100 effective consumers)a			Fiscal Support Ratios (projected tax revenues relative to public transfers as % values in 2015)b		Human-Capital Spending (% average annual labor income of a prime-age (30–49) adult)c			Average annual labor income age 20–29 (% labor income of a prime-age (30–49) adult)	Annual Economic Resources for Children Age 0–24 (as % annual consumption)d				Annual Economic Resources for the Elderly, Age 65+ (as % annual consumption)e
3			Private (% per capita private consumption age 25–64)		Public (% per capita public consumption age 25–64)		Combined (% per capita combined consumption age 25–64)
4			Age 0–24	Age 65+	Age 0–24	Age 65+	Age 0–24	Age 65+	2015	2035	2055	2035	2055	Private	Public	Total		Labor Income	Private Transfers	Public Transfers	Asset-Based Reallocations	Labor Income	Private Transfers	Public Transfers	Asset-Based Reallocations

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6	Africa		61	88	131	93	70	89	43	48	52	110	117	89	110	200	46	17	u	22	u	45	u	6	u
7	Benin (BEN)	2007	55	95	168	100	66	96	41	46	51	u	u	47	108	154	41	15	u	u	u	45	u	u	u
8	Burkina Faso (BFA)	2014	59	79	117	97	70	83	45	50	55	u	u	52	79	131	54	25	u	u	u	76	u	u	u
9	Chad (TCD)	2011	64	84	103	84	67	84	39	44	51	u	u	38	47	86	43	13	u	u	u	47	u	u	u
10	Côte d'Ivoire (CIV)	2015	66	81	123	80	67	82	45	54	58	u	u	107	32	139	60	25	u	u	u	50	u	u	u
11	Ethiopia (ETH)	2005	56	94	144	101	65	94	49	54	59	u	u	97	139	236	42	8	u	u	u	45	u	u	u
12	Ghana (GHA)	2005	65	96	130	94	71	95	41	46	52	u	u	58	74	132	37	10	u	u	u	39	u	u	u
13	Guinea (GIN)	2012	59	88	163	95	81	90	38	42	46	u	u	88	292	380	42	11	u	u	u	57	u	u	u
14	Kenya (KEN)	2005	58	85	142	100	69	87	43	46	48	109	116	34	97	131	51	22	u	19	u	15	u	10	u
15	Mali (MLI)	2015	60	91	119	94	68	92	40	43	49	u	u	41	62	103	47	16	u	u	u	28	u	u	u
16	Mauritania (MRT)	2014	65	94	119	95	78	94	45	50	54	u	u	122	156	278	40	15	u	u	u	66	u	u	u
17	Mozambique (MOZ)	2008	61	65	143	84	69	67	48	52	57	108	117	20	137	157	72	32	u	13	u	33	u	8	u
18	Niger (NER)	2014	63	95	119	99	71	96	32	31	36	u	u	89	38	127	30	11	u	u	u	20	u	u	u
19	Nigeria (NGA)	2009	82	96	137	93	85	96	41	44	49	u	u	487	40	527	51	19	u	u	u	62	u	u	u
20	Sao Tome and Principe (STP)	2011	58	97	127	84	65	96	50	56	60	u	u	13	95	107	60	24	u	u	u	71	u	u	u
21	Senegal (SEN)	2011	58	93	103	82	68	90	43	47	52	u	u	49	175	224	39	17	u	u	u	53	u	u	u
22	South Africa (ZAF)	2005	42	83	140	114	59	88	55	60	60	113	119	88	194	282	36	10	53	35	3	11	-23	0	112
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24	East Asia and the Pacific		76	89	162	168	94	106	52	46	41	87	77	205	279	484	60	21	52	29	-6	15	10	43	34
25	Australia (AUS)	2010	63	90	159	215	81	114	56	51	49	90	85	113	296	408	70	28	36	33	4	13	1	41	44
26	China (CHN)	2007	91	91	155	141	111	107	53	44	39	85	76	180	198	378	85	48	66	20	-34	20	16	45	19
27	Japan (JPN)	2004	67	108	194	228	90	130	45	40	36	87	77	140	389	529	48	14	50	33	3	12	0	51	37
28	Mongolia (MNG)	2014	71	84	127	111	78	87	56	52	51	u	u	237	112	349	58	14	u	u	u	23	u	u	u
29	Republic of Korea (KOR)	2010	86	75	176	155	104	91	52	44	38	u	u	323	307	630	49	12	u	u	u	14	u	u	u
30	Taiwan (TWN)	2010	82	89	160	161	99	104	52	44	34	87	71	238	372	610	50	9	55	32	3	8	23	35	35
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32	South and Southeast Asia		65	98	146	112	77	100	55	57	55	109	114	97	149	246	65	25	58	16	0	27	1	-3	74
33	Bangladesh (BGD)	2010	73	95	117	101	75	96	58	62	60	u	u	127	18	145	65	43	u	u	u	46	u	u	u
34	Cambodia (KHM)	2009	66	98	112	117	69	99	69	69	64	105	102	151	44	194	101	48	49	5	-2	17	18	5	61
35	India (IND)	2004	59	107	124	137	67	111	56	60	58	102	101	68	107	175	54	22	66	7	5	27	1	2	70
36	Indonesia (IDN)	2012	68	90	243	120	82	92	57	58	59	u	u	178	253	431	61	18	u	u	u	33	u	u	u
37	Iran (IRN)	2011	64	111	157	107	77	111	54	57	51	u	u	67	254	321	41	13	u	u	u	32	u	u	u
38	Lao PDR (LAO)	2012	61	72	149	116	72	78	53	61	63	129	157	46	108	154	60	29	u	22	u	61	u	-27	u
39	Malaysia (MYS)	2009	59	87	181	113	78	91	55	57	54	u	u	63	253	316	56	18	u	u	u	33	u	u	u
40	Maldives (MDV)	2010	66	131	125	118	76	129	55	57	49	u	u	91	92	183	66	29	u	u	u	20	u	u	u
41	Nepal (NPL)	2011	67	92	105	98	83	94	45	54	52	u	u	76	71	146	68	13	u	u	u	13	u	u	u
42	Philippines (PHL)	2011	62	116	152	102	69	115	55	57	57	u	u	100	67	167	77	33	u	u	u	24	u	u	u
43	Thailand (THA)	2011	64	86	197	126	89	94	61	56	50	101	95	85	418	503	55	15	59	31	-4	19	-17	7	92
44	Timor-Leste (TLS)	2011	68	109	109	102	91	105	34	38	45	u	u	25	207	231	56	7	u	u	u	16	u	u	u
45	Vietnam (VNM)	2012	76	83	132	102	80	84	64	57	52	u	u	187	42	229	91	40	u	u	u	12	u	u	u
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47	Latin America and the Caribbean		61	100	157	132	75	104	56	57	54	94	83	156	245	401	61	21	61	18	1	25	8	52	25
48	Argentina (ARG)	2010	58	97	143	121	87	105	51	52	51	100	93	86	475	561	61	17	u	38	u	19	u	88	u
49	Brazil (BRA)	2002	54	103	126	112	70	105	59	58	52	88	75	82	218	300	56	20	u	17	u	22	u	68	u
50	Chile (CHL)	2012	67	107	182	164	82	114	54	51	46	84	69	222	258	480	47	12	u	19	u	20	u	54	u
51	Colombia (COL)	2008	60	106	156	143	82	114	63	62	58	91	81	160	285	445	68	47	u	16	u	46	u	67	u
52	Costa Rica (CRI)	2004	57	97	141	151	69	105	57	56	50	87	71	72	252	324	61	21	62	16	1	25	-2	50	27
53	Ecuador (ECU)	2011	59	88	161	120	71	92	57	60	60	94	85	80	194	274	58	20	59	13	8	44	0	64	-8
54	El Salvador (SLV)	2010	57	102	120	141	62	105	58	62	58	102	92	186	120	306	66	18	71	7	3	19	10	15	56
55	Jamaica (JAM)	2002	62	93	170	139	74	98	59	58	54	105	102	180	169	349	73	27	54	17	3	21	53	8	17
56	Mexico (MEX)	2010	73	86	181	114	84	89	53	57	56	u	u	350	232	581	57	14	u	u	u	26	u	u	u
57	Peru (PER)	2007	61	111	181	100	74	109	55	56	54	92	74	139	195	334	61	23	61	26	-11	23	-19	65	32
58	Uruguay (URY)	2013	61	108	166	143	75	112	53	53	51	97	88	162	299	461	58	18	u	12	u	12	u	44	u
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60	North America		61	99	176	220	83	123	55	49	48	u	u	87	378	465	50	15	u	u	u	22	u	u	u
61	Canada (CAN)	2006	67	86	192	203	92	109	55	49	47	u	u	54	416	470	53	16	u	u	u	21	u	u	u
62	United States (USA)	2011	54	113	159	237	74	137	54	50	48	90	88	120	340	460	48	13	43	38	6	24	-4	28	52
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64	Europe		59	93	173	169	85	111	51	45	43	85	78	40	371	411	54	19	44	32	3	10	-2	74	23
65	Austria (AUT)	2010	58	94	188	159	86	109	53	45	41	82	73	24	431	454	58	26	42	28	4	6	-1	84	11
66	Finland (FIN)	2006	54	90	178	196	84	116	46	42	41	88	84	10	347	357	54	19	29	46	6	5	2	79	14
67	France (FRA)	2011	58	99	148	169	82	117	46	41	40	89	87	38	333	371	53	17	46	44	-7	3	-7	71	32
68	Germany (DEU)	2008	58	105	152	168	78	119	49	41	39	84	77	37	292	329	51	18	41	40	2	3	-10	56	51
69	Hungary (HUN)	2005	60	95	151	136	87	107	50	47	42	89	76	34	376	410	55	15	32	44	9	7	5	93	-4
70	Italy (ITA)	2008	58	96	201	181	88	113	52	43	40	80	72	48	472	520	50	14	51	32	4	8	-5	74	23
71	Slovenia (SVN)	2010	68	95	208	141	101	106	47	38	35	81	76	49	481	530	44	14	53	30	3	6	2	74	19
72	Spain (ESP)	2008	65	83	203	165	93	99	54	45	40	83	73	71	442	513	49	13	52	34	2	9	1	64	26
73	Sweden (SWE)	2003	57	89	213	231	102	129	47	42	41	91	88	18	586	604	56	18	42	38	3	6	-12	99	6
74	Turkey (TUR)	2006	57	93	115	102	61	93	68	70	67	80	68	48	31	79	60	29	u	-1	u	54	u	77	u
75	United Kingdom (GBR)	2007	62	86	141	215	78	112	52	47	45	91	86	64	295	359	69	28	50	20	2	6	0	43	52
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77			Source: Calculated from National Transfer Accounts data, 2016.
78			u Unavailable.
79			a The effective number of producers sums the population in each one-year age group, weighted to incorporate age differences in employment and productivity estimated for the base year. The effective number of consumers sums the population in each one-year age group, weighted to incorporate age differences in consumption estimated for the base year.
80			b Revenues and expenditures are projected assuming that per capita taxes and public expenditures by single year of age remain constant at base-year values.
81			c Human-capital spending is total spending per child given per capita health spending for children age 0–17 and per capita education spending for children age 3–26 in the base year.
82			d In some cases, annual economic resource for children do not sum to 100% of their consumption due to rounding. Regional averages do not necessarily sum to 100% because the information available for some countries is incomplete.
83			e In some cases, annual economic resource for the elderly do not sum to 100% of their consumption due to rounding. Regional averages do not necessarily sum to 100% because the information available for some countries is incomplete. Negative values for transfers indicate that the elderly are providing more resources to other age groups than they are receiving.
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