China Leads Global Meat Imports with 11Mt Amid Rising Demand

Table of contents

Abstract
Meat imports (worldwide)
Meat imports (latest year, countries around the world)
Meat imports (continent)
Meat imports (latest year, continent)
Main data
Reference

Abstract

The amount of meat imported into global agriculture varies greatly depending on the food culture and economic factors of each country and region. According to data for 2021, China showed a large import volume of 11Mt. This suggests that demand is increasing with China’s economic growth and urbanization. Meanwhile, other countries also rely on meat imports, which is mainly due to increased demand due to population growth and improved living standards of consumers. In addition, the increase in imports is also focused on the sustainability and environmental impact of the livestock industry. This trend suggests that there is an increasing demand for building sustainable agricultural systems and developing alternative protein sources. Overall, meat imports are affected by complex factors in the global food system and face various challenges in terms of sustainability and safety.

Meat imports (worldwide)

Looking at data on meat imports over the past 60 years, it is clear that global meat demand is increasing. In particular, China’s imports have increased significantly, reaching a record high of 11.8 Mt in 2020. This rapid growth reflects the increased demand caused by China’s economic growth and urbanization. On the other hand, there is a slight decline at 92.7% compared to the peak, but it still remains at a high level. Globally, the demand for meat is increasing due to changes in dietary habits associated with population growth and economic development. To meet this increased demand, imports are needed, which indicates that the world meat market is globalizing. In addition, interest in meat alternatives and sustainable production methods is growing due to sustainability and environmental concerns. Going forward, global meat imports will likely be a focus of attention in terms of increasing demand and sustainability.

The maximum is 1.46G[2021] of China, and the current value is about 97.8%

Meat imports (latest year, countries around the world)

Analysis of 2021 data on agricultural meat imports highlights the growing global demand. China’s imports of 11 Mt account for about 20% of the world’s total imports, indicating the magnitude of demand. The average import volume of 292 kt also suggests that countries around the world have a demand for agricultural meat. This demand is likely due to changes in dietary habits due to population growth and urbanization, and increased demand for high-protein foods due to economic affluence. In addition, the global import volume of 53.7 Mt also indicates that the international agricultural market is expanding. This indicates that global food distribution is progressing and countries are interdependent to meet diverse demands. However, concerns about sustainability and food safety are also increasing, and it will be interesting to see how agricultural meat imports will change in the future while taking these factors into account.

全体の最大はChinaの1.43Gで、平均は41.1M、Totalは7.89G

Meat imports (continent)

A clear feature of the 2021 data on agricultural meat imports is that Asia represents the largest overall import volume. The figure of 22.7 Mt indicates that Asia plays a very important role in global agriculture. This reflects the rapid expansion of food demand in Asia, which has many densely populated and economically growing countries. It is believed that the demand for meat is increasing due to population growth and changes in dietary habits, especially in urban areas. In addition, the current value of the largest import volume in the world suggests that the demand for agricultural meat is increasing worldwide. This is likely due to global economic growth, changes in dietary habits, and population growth. However, the challenge is to ensure sustainable production and supply to meet these increasing demands. Environmental burden and food security issues are also important, and in the future, it will be necessary to pursue agricultural sustainability while addressing these challenges.

The maximum is the latest one, 4.72G of Asia

Meat imports (latest year, continent)

Data on agricultural meat imports in 2021 clearly shows that the Asian region represents the largest overall import volume. The figure of 22.6 Mt indicates that Asia plays a major role in the global agricultural market. This trend can be attributed to the rapid economic development and urbanization in the Asian region. With increasing population density and improved living standards in urban areas, the demand for meat is expected to expand rapidly. Meanwhile, the overall average import volume of 8.91 Mt suggests that agricultural meat imports are also thriving in other regions. This is due to the increase in global food demand and the expansion of the global food market. However, this increase in imports is accompanied by issues of sustainability and food security. Amid growing concerns about the environmental burden and stability of food production, there is a demand for sustainable development of agriculture. In the future, it will be important to build a sustainable food system while balancing demand and supply.

The maximum is 4.72G of Asia, the average is 1.33G, and the total is 7.98G

Main data

Others(Meat, Population) [G]
	World	Asia	Lower-middle-income countries	Upper-middle-income countries	Africa	China	India	High-income countries	Europe	Low-income countries
2022	7.98	4.72	3.45	2.56	1.43	1.43	1.42	1.22	0.74	0.72
2021	7.91	4.68	3.41	2.55	1.37	1.46	1.41	1.22	0.74	0.7
2020	7.84	4.65	3.37	2.54	1.34	1.46	1.4	1.22	0.74	0.68
2019	7.76	4.61	3.33	2.53	1.3	1.45	1.38	1.21	0.74	0.66
2018	7.68	4.57	3.28	2.52	1.26	1.45	1.37	1.21	0.74	0.64
2017	7.6	4.53	3.24	2.5	1.23	1.44	1.35	1.2	0.74	0.63
2016	7.51	4.48	3.19	2.48	1.2	1.43	1.34	1.2	0.74	0.61
2015	7.43	4.44	3.14	2.46	1.17	1.43	1.32	1.19	0.74	0.59
2014	7.34	4.39	3.1	2.44	1.14	1.42	1.31	1.18	0.74	0.58
2013	7.25	4.35	3.05	2.42	1.11	1.41	1.29	1.18	0.74	0.56
2012	7.16	4.3	3.01	2.4	1.08	1.4	1.27	1.17	0.74	0.55
2011	7.07	4.25	2.96	2.38	1.02	1.39	1.26	1.16	0.73	0.54
2010	6.99	4.2	2.91	2.36	0.99	1.38	1.24	1.15	0.73	0.52
2009	6.9	4.09	2.87	2.35	0.91	1.38	1.22	1.15	0.74	0.51
2008	6.81	4.04	2.82	2.33	0.89	1.37	1.21	1.14	0.74	0.49
2007	6.73	4	2.78	2.31	0.87	1.36	1.19	1.13	0.74	0.48
2006	6.64	3.96	2.74	2.29	0.85	1.36	1.17	1.12	0.73	0.46
2005	6.56	3.91	2.69	2.28	0.83	1.35	1.15	1.11	0.73	0.45
2004	6.48	3.87	2.65	2.26	0.81	1.34	1.14	1.1	0.73	0.44
2003	6.39	3.83	2.6	2.24	0.79	1.33	1.12	1.09	0.73	0.43
2002	6.31	3.78	2.56	2.23	0.77	1.32	1.1	1.09	0.73	0.41
2001	6.23	3.74	2.51	2.21	0.75	1.32	1.08	1.08	0.73	0.4
2000	6.15	3.69	2.47	2.19	0.74	1.31	1.06	1.07	0.73	0.39
1999	6.07	3.65	2.42	2.17	0.72	1.3	1.04	1.07	0.73	0.38
1998	5.99	3.6	2.38	2.16	0.7	1.29	1.02	1.06	0.73	0.37
1997	5.91	3.56	2.33	2.14	0.68	1.29	1	1.05	0.73	0.36
1996	5.83	3.51	2.29	2.12	0.67	1.28	0.98	1.05	0.73	0.35
1995	5.74	3.46	2.24	2.1	0.65	1.27	0.96	1.04	0.73	0.34
1994	5.66	3.41	2.2	2.08	0.64	1.25	0.95	1.03	0.73	0.33
1993	5.58	3.36	2.15	2.05	0.62	1.24	0.93	1.02	0.73	0.32
1992	5.49	3.31	2.11	2.03	0.61	1.23	0.91	1.02	0.73	0.31
1991	5.41	3.18	2.07	2.01	0.6	1.21	0.89	1.01	0.79	0.3
1990	5.32	3.13	2.02	1.98	0.58	1.19	0.87	1	0.79	0.3
1989	5.22	3.07	1.98	1.95	0.57	1.17	0.85	0.99	0.79	0.29
1988	5.13	3.01	1.93	1.92	0.55	1.15	0.83	0.99	0.78	0.28
1987	5.04	2.95	1.89	1.88	0.54	1.13	0.82	0.98	0.78	0.27
1986	4.95	2.89	1.84	1.85	0.52	1.11	0.8	0.97	0.77	0.27
1985	4.86	2.83	1.8	1.82	0.51	1.09	0.78	0.96	0.77	0.26
1984	4.78	2.77	1.76	1.79	0.49	1.07	0.76	0.96	0.77	0.25
1983	4.69	2.72	1.72	1.76	0.48	1.05	0.75	0.95	0.76	0.25
1982	4.61	2.67	1.67	1.73	0.47	1.04	0.73	0.94	0.76	0.24
1981	4.52	2.61	1.63	1.71	0.45	1.02	0.71	0.94	0.75	0.23
1980	4.44	2.56	1.59	1.68	0.44	1.01	0.7	0.93	0.75	0.23
1979	4.37	2.51	1.55	1.65	0.43	0.99	0.68	0.92	0.75	0.23
1978	4.29	2.47	1.51	1.63	0.42	0.98	0.67	0.91	0.74	0.22
1977	4.22	2.42	1.48	1.6	0.41	0.97	0.65	0.9	0.74	0.21
1976	4.14	2.37	1.44	1.58	0.4	0.95	0.64	0.9	0.73	0.21
1975	4.07	2.32	1.41	1.55	0.39	0.93	0.62	0.89	0.73	0.2
1974	4	2.27	1.38	1.52	0.38	0.92	0.61	0.88	0.72	0.2
1973	3.92	2.22	1.35	1.49	0.37	0.9	0.6	0.87	0.72	0.19
1972	3.84	2.17	1.32	1.46	0.36	0.88	0.58	0.87	0.71	0.19
1971	3.77	2.12	1.29	1.43	0.35	0.85	0.57	0.86	0.71	0.18
1970	3.7	2.07	1.26	1.4	0.34	0.83	0.56	0.85	0.7	0.18
1969	3.62	2.02	1.23	1.37	0.33	0.81	0.55	0.84	0.7	0.17
1968	3.55	1.97	1.2	1.34	0.32	0.79	0.53	0.83	0.69	0.17
1967	3.48	1.92	1.17	1.31	0.31	0.77	0.52	0.82	0.69	0.16
1966	3.41	1.88	1.14	1.28	0.31	0.75	0.51	0.81	0.68	0.16
1965	3.34	1.83	1.12	1.25	0.3	0.73	0.5	0.8	0.68	0.16
1964	3.27	1.79	1.09	1.22	0.29	0.71	0.49	0.79	0.67	0.15
1963	3.2	1.75	1.07	1.18	0.28	0.7	0.48	0.78	0.66	0.15
1962	3.13	1.72	1.04	1.15	0.28	0.69	0.47	0.78	0.65	0.15
1961	3.07	1.69	1.02	1.13	0.27	0.68	0.46	0.77	0.65	0.14