Is there a relationship between Life Span and GDP per capita?

February 10, 2014

life expectancy and personal wealth

Empirical research suggests a strong correlation between . However this relationship is not linear as shown in the graph and the table below, because people consume both needs and wants. People consume needs in order to survive. Once a person’s needs are satisfied, they could then spend the rest of their money on non-necessities. If everyone’s needs are satisfied, then any increase in GDP per capita would barely affect life expectancy.

Government Intervention

Government intervention also plays a key role in this. A nation could be rich, but if its government ignores the plight of the poor, it could lower the life expectancy. Some poor nations have high life expectancies because their governments’ strongly prioritize needs over wants. Cuba is a good example of this. The Cuban government has a strong social support network that provides health coverage, government pensions and economic support to poor families. Despite having a very low GDP per capita (largely due to US economic blockade), the life expectancy in Cuba is close to 77 years, not much lower than the life expectancy is developed nations.

Another reason for the wide variation in the life expectancy for countries with low GDP per capita would be due to the level of non-market economic activity.

For example, if there is a lot of farming activity, people could be working and have enough food to eat, but wouldn’t be contributing much to the nation’s GDP because they wouldn’t be buying the food they eat, or selling the food they grow i.e. no exchange of money.

Chart depicting GDP per Capita in various different countries.

		GDP Per Capita			GDP Per Capita			GDP Per Capita
1	QATAR	103,500	65	ROMANIA	12,200	129	KIRIBATI	3,200
2	LUXEMBOURG	81,100	66	URUGUAY	12,200	130	MONGOLIA	3,200
3	KUWAIT	57,400	67	MAURITIUS	12,100	131	NICARAGUA	2,900
4	NORWAY	55,200	68	TURKEY	12,000	132	INDIA	2,800
5	BRUNEI	53,100	69	BELARUS	11,800	133	VIET NAM	2,800
6	SINGAPORE	52,000	70	COSTA RICA	11,600	134	PAKISTAN	2,600
7	UNITED STATES	47,000	71	PANAMA	11,600	135	UZBEKISTAN	2,600
8	IRELAND	46,200	72	KAZAKHSTAN	11,500	136	MOLDOVA	2,500
9	SWITZERLAND	40,900	73	SAINT LUCIA	11,300	137	MARSHALL ISL.	2,500
10	NETHERLANDS	40,300	74	LEBANON	11,100	138	YEMEN	2,400
11	ARAB EMIRATES	40,000	75	SERBIA/MONTEN	10,900	139	TIMOR-LESTE	2,400
12	ICELAND	39,900	76	SAINT VINCENT	10,500	140	NIGERIA	2,300
13	CANADA	39,300	77	BRAZIL	10,100	141	CAMEROON	2,300
14	AUSTRIA	39,200	78	SOUTH AFRICA	10,000	142	NEW GUINEA	2,200
15	SWEDEN	38,500	79	DOMINICA	9,900	143	SUDAN	2,200
16	AUSTRALIA	38,100	80	CUBA	9,500	144	MICRONESIA	2,200
17	BELGIUM	37,500	81	COOK ISLANDS	9,100	145	TAJIKISTAN	2,100
18	DENMARK	37,400	82	AZERBAIJAN	9,000	146	KYRGYZSTAN	2,100
19	BAHRAIN	37,200	83	COLOMBIA	8,900	147	LAOS	2,100
20	FINLAND	37,200	84	SURINAME	8,900	148	MAURITANIA	2,100
21	UNITED KINGDOM	36,600	85	ANGOLA	8,800	149	CAMBODIA	2,000
22	GERMANY	34,800	86	BELIZE	8,600	150	SOLOMON ISL.	1,900
23	SPAIN	34,600	87	THAILAND	8,500	151	COTE D IVOIRE	1,700
24	JAPAN	34,200	88	PERU	8,400	152	NORTH KOREA	1,700
25	FRANCE	32,700	89	DOMINICAN REP	8,100	153	SENEGAL	1,600
26	GREECE	32,000	90	PALAU	8,100	154	CHAD	1,600
27	EQU. GUINEA	31,400	91	TUNISIA	7,900	155	LESOTHO	1,600
28	ITALY	31,000	92	ECUADOR	7,500	156	KENYA	1,600
29	MADAGASCAR	30,000	93	JAMAICA	7,400	157	TUVALU	1,600
30	SLOVENIA	29,500	94	ALGERIA	7,000	158	BENIN	1,500
31	BAHAMAS	28,600	95	UKRAINE	6,900	159	ZAMBIA	1,500
32	CYPRUS	28,600	96	BOSNIA/HERZEG	6,500	160	GHANA	1,500
33	ISRAEL	28,200	97	ARMENIA	6,400	161	BANGLADESH	1,500
34	NEW ZEALAND	27,900	98	EL SALVADOR	6,200	162	TANZANIA	1,300
35	CZECH REPUBLIC	26,100	99	TURKMENISTAN	6,100	163	HAITI	1,300
36	SOUTH KOREA	26,000	100	ALBANIA	6,000	164	SAO TOME	1,300
37	MALTA	24,200	101	CHINA	6,000	165	GAMBIA	1,300
38	PORTUGAL	22,000	102	NIUE	5,800	166	MALI	1,200
39	SLOVAKIA	21,900	103	BHUTAN	5,600	167	BURKINA FASO	1,200
40	ESTONIA	21,200	104	NAMIBIA	5,400	168	MYANMAR	1,200
41	SAUDI ARABIA	20,700	105	EGYPT	5,400	169	GUINEA	1,100
42	OMAN	20,200	106	GUATEMALA	5,200	170	NEPAL	1,100
43	HUNGARY	19,800	107	SWAZILAND	5,100	171	UGANDA	1,100
44	ST. KITTS	19,700	108	NAURU	5,000	172	COMOROS	1,000
45	BARBADOS	19,300	109	MALDIVES	5,000	173	TOGO	900
46	ANTIGUA/BAR.	19,000	110	JORDAN	5,000	174	RWANDA	900
47	TRINIDAD/TOB.	18,600	111	SAMOA	4,900	175	MOZAMBIQUE	900
48	LATVIA	17,800	112	SYRIA	4,800	176	MALAWI	800
49	LITHUANIA	17,700	113	GEORGIA	4,700	177	AFGHANISTAN	800
50	POLAND	17,300	114	VANUATU	4,600	178	ETHIOPIA	800
51	SEYCHELLES	17,000	115	TONGA	4,600	179	CENTRAL AFRICA	700
52	CROATIA	16,100	116	BOLIVIA	4,500	180	ERITREA	700
53	RUSSIA	15,800	117	HONDURAS	4,400	181	NIGER	700
54	MALAYSIA	15,300	118	SRI LANKA	4,300	182	SIERRA LEONE	700
55	CHILE	14,900	119	PARAGUAY	4,200	183	SOMALIA	600
56	LIBYA	14,400	120	IRAQ	4,000	184	GUINEA-BISSAU	600
57	GABON	14,400	121	MOROCCO	4,000	185	LIBERIA	500
58	MEXICO	14,200	122	CONGO	4,000	186	BURUNDI	400
59	ARGENTINA	14,200	123	GUYANA	3,900	187	REP OF CONGO	300
60	VENEZUELA	13,500	124	FIJI	3,900	188	ZIMBABWE	200
61	GRENADA	13,400	125	INDONESIA	3,900
62	BOTSWANA	13,300	126	CAPE VERDE	3,800
63	BULGARIA	12,900	127	DJIBOUTI	3,700
64	IRAN	12,800	128	PHILIPPINES	3,300

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3 Responses

Charmie says:

May 12, 2014 at 6:11 am

Well, the statistics shows the relativity between a country’s GDP and the lifespan. Thanks for this post.

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Muhammed says:

March 9, 2017 at 4:24 pm

How do I reference this article

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binance says:

November 30, 2024 at 8:36 pm

Your article helped me a lot, is there any more related content? Thanks!

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Is there a relationship between Life Span and GDP per capita?

life expectancy and personal wealth

Government Intervention

Another reason for the wide variation in the life expectancy for countries with low GDP per capita would be due to the level of non-market economic activity.

Chart depicting GDP per Capita in various different countries.

Share this post :

3 Responses

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