马来西亚与泰国：年龄中位数

2023 年年龄中位数：马来西亚为 30.1 年，泰国为 39.7 年（据 UN 估计）。 2023 年泰国的数值较高，高出 9.6 年，是马来西亚的 1.32 倍。

年 · UN

马来西亚泰国联合国预测（中方案）95% 预测区间世界

数据解读

自 1979 年超过马来西亚以来，泰国的数值一直更高。
2023 年，在 229 个国家中，马来西亚排名第 123，泰国排名第 55（从高到低）。
根据联合国预测（中方案），2100 年马来西亚为 47.4 年，泰国为 51.9 年。
全球整体：2023 年为 30.4 年。

逐年数据

年 · UN

年份	马来西亚	泰国	世界
2023	30.1	39.7	30.4
2022	29.6	39.2	30.1
2021	29.1	38.7	29.8
2020	28.6	38.2	29.6
2019	28.2	37.7	29.3
2018	27.8	37.2	29
2017	27.5	36.7	28.8
2016	27.1	36.3	28.5
2015	26.8	35.8	28.3
2014	26.5	35.3	28.1
2013	26.1	34.9	27.8
2012	25.7	34.4	27.6
2011	25.4	34	27.4
2010	25	33.5	27.2
2009	24.5	33.1	27
2008	24.1	32.6	26.7
2007	23.8	32.1	26.5
2006	23.5	31.7	26.3
2005	23.2	31.2	26.1
2004	23	30.8	25.9
2003	22.8	30.3	25.7
2002	22.7	29.9	25.5
2001	22.6	29.5	25.3
2000	22.5	29	25.1
1999	22.3	28.5	24.9
1998	22.1	27.9	24.7
1997	21.9	27.3	24.4
1996	21.7	26.7	24.2
1995	21.5	26.2	24
1994	21.3	25.6	23.8
1993	21.1	25	23.5
1992	20.8	24.4	23.3
1991	20.6	23.8	23.1
1990	20.4	23.2	22.9
1989	20.3	22.7	22.8
1988	20.1	22.2	22.6
1987	20	21.8	22.4
1986	19.8	21.3	22.2
1985	19.7	20.9	22
1984	19.5	20.4	21.9
1983	19.3	20	21.8
1982	19.1	19.6	21.7
1981	18.9	19.2	21.6
1980	18.7	18.9	21.5
1979	18.5	18.5	21.3
1978	18.2	18.2	21.1
1977	18	17.9	21
1976	17.7	17.6	20.8
1975	17.5	17.3	20.7
1974	17.2	17.1	20.5
1973	17	16.9	20.4
1972	16.8	16.7	20.4
1971	16.5	16.5	20.3
1970	16.3	16.3	20.3
1969	16.1	16.2	20.3
1968	15.9	16.2	20.4
1967	15.8	16.1	20.5
1966	15.7	16.2	20.6
1965	15.6	16.2	20.8
1964	15.7	16.4	21
1963	15.8	16.5	21.2
1962	16	16.6	21.4
1961	16.2	16.8	21.4
1960	16.5	16.9	21.5
1959	16.7	17.1	21.5
1958	17	17.2	21.5
1957	17.2	17.3	21.6
1956	17.3	17.4	21.7
1955	17.4	17.4	21.8
1954	17.6	17.4	21.9
1953	17.8	17.5	22
1952	18.1	17.5	22.1
1951	18.5	17.5	22.1
1950	18.8	17.5	22.2

联合国预测（中方案） · 2024–2100

年份	马来西亚	泰国	世界
2024	30.530.5–30.6	40.140.1–40.2	30.6
2025	3130.8–31.1	40.640.4–40.7	30.9
2026	31.431.1–31.7	4140.7–41.2	31.1
2027	31.831.3–32.3	41.441–41.8	31.3
2028	32.231.6–32.8	41.841.3–42.3	31.6
2029	32.631.9–33.4	42.241.6–42.8	31.8
2030	3332.1–34	42.641.8–43.4	32
2031	33.432.3–34.6	42.942.1–43.9	32.2
2032	33.832.6–35.2	43.342.3–44.4	32.4
2033	34.232.8–35.8	43.742.6–44.9	32.6
2034	34.633–36.4	4442.8–45.4	32.8
2035	3533.2–37	44.443.1–45.8	33
2036	35.433.4–37.6	44.743.3–46.3	33.2
2037	35.733.7–38.2	4543.5–46.8	33.4
2038	36.133.9–38.8	45.443.7–47.2	33.6
2039	36.534.1–39.3	45.743.9–47.7	33.8
2040	36.834.3–39.9	4644.1–48.1	34
2041	37.234.4–40.5	46.344.3–48.6	34.2
2042	37.634.6–41.1	46.644.5–49	34.4
2043	37.934.8–41.6	46.944.7–49.4	34.6
2044	38.334.9–42.2	47.244.8–49.8	34.8
2045	38.635.1–42.8	47.545–50.2	35
2046	38.935.3–43.3	47.845–50.6	35.2
2047	39.235.5–43.9	4845.2–51	35.4
2048	39.535.7–44.5	48.245.3–51.4	35.6
2049	39.835.8–45	48.445.4–51.7	35.9
2050	40.236–45.6	48.645.5–52.1	36.1
2051	40.536.2–46.1	48.845.6–52.5	36.3
2052	40.836.4–46.7	4945.7–52.8	36.5
2053	41.136.5–47.2	49.245.9–53.1	36.7
2054	41.436.7–47.7	49.446–53.4	36.9
2055	41.736.9–48.3	49.646.1–53.6	37.1
2056	4237–48.8	49.846.2–53.9	37.3
2057	42.337.1–49.3	5046.4–54.2	37.5
2058	42.737.2–49.8	50.146.5–54.6	37.6
2059	4337.3–50.3	50.346.6–54.9	37.8
2060	43.337.3–50.8	50.546.7–55.2	37.9
2061	43.637.3–51.4	50.746.8–55.5	38
2062	43.937.3–51.9	50.946.9–55.8	38.1
2063	44.137.3–52.4	5147–56.1	38.3
2064	44.437.3–52.9	51.247–56.4	38.4
2065	44.637.3–53.4	51.447–56.6	38.5
2066	44.737.3–53.9	51.547–56.9	38.6
2067	44.837.4–54.4	51.746.9–57.2	38.7
2068	44.937.4–54.9	51.846.9–57.5	38.8
2069	4537.4–55.4	51.946.8–57.8	38.9
2070	45.137.4–56	5246.7–58.1	39
2071	45.237.5–56.5	5246.6–58.5	39.1
2072	45.337.5–56.9	52.146.5–58.8	39.2
2073	45.437.6–57.4	52.146.5–59.1	39.3
2074	45.537.7–57.8	52.146.4–59.4	39.4
2075	45.637.7–58.3	52.146.4–59.7	39.5
2076	45.637.8–58.7	52.146.4–59.9	39.6
2077	45.737.8–59.1	52.146.3–60.2	39.7
2078	45.837.9–59.6	5246.3–60.5	39.8
2079	45.937.9–59.9	5246.3–60.7	40
2080	45.937.9–60.3	5246.3–60.9	40.1
2081	4637.9–60.6	51.946.3–61.1	40.2
2082	46.137.9–60.9	51.946.4–61.3	40.3
2083	46.237.9–61.1	51.946.4–61.5	40.4
2084	46.238–61.3	51.946.4–61.7	40.5
2085	46.338–61.6	51.946.4–61.8	40.6
2086	46.438–61.8	51.946.4–62	40.7
2087	46.538–62.1	51.946.3–62	40.9
2088	46.638–62.3	51.946.3–62.1	41
2089	46.738–62.5	51.946.3–62.1	41.1
2090	46.838–62.6	51.946.3–62.1	41.2
2091	46.837.9–62.7	51.946.3–62.2	41.3
2092	46.937.9–62.8	51.946.3–62.2	41.4
2093	4737.9–62.8	51.946.2–62.2	41.5
2094	47.137.8–62.8	51.946.2–62.1	41.6
2095	47.137.8–62.8	51.946.2–62.1	41.7
2096	47.237.8–62.9	51.946.1–62.1	41.8
2097	47.337.8–62.9	51.946.1–62.1	41.9
2098	47.337.8–62.9	51.946–62.1	42
2099	47.437.7–62.9	51.945.9–62.1	42
2100	47.437.7–63	51.945.9–62.1	42.1

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须知

一半人口年龄高于此值，另一半低于此值。
来源：UN DESA, World Population Prospects 2024。
虚线为联合国预测（中方案），是一种情景而非预报；阴影带为其95% 预测区间。
排名基于 2023 年有数值的 229 个国家，从高到低排列。
浅色线为同一来源统计的全球整体数值。

各图层如何运作、数据从何而来，以及它们无法告诉你什么：历年各国数据

马来西亚与泰国对比

健康

人口与社会

经济

教育

政治

冲突

冲突死亡人数马来西亚：2022 年为 0 人死亡泰国：2022 年为 46 人死亡

马来西亚与泰国：年龄中位数

数据解读

逐年数据

分别查看各国

须知

马来西亚与泰国对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

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