意大利与乌兹别克斯坦对比

意大利与乌兹别克斯坦:婴儿死亡率

2023 年婴儿死亡率:意大利为 2.2‰,乌兹别克斯坦为 11.1‰(据 UN 估计)。 2023 年乌兹别克斯坦的数值较高,高出 8.9‰,是意大利的 4.96 倍。

每 1,000 例活产死亡数 · UN

意大利与乌兹别克斯坦:婴儿死亡率2023 年婴儿死亡率:意大利为 2.2‰,乌兹别克斯坦为 11.1‰(据 UN 估计)。 2023 年乌兹别克斯坦的数值较高,高出 8.9‰,是意大利的 4.96 倍。
意大利乌兹别克斯坦联合国预测(中方案)95% 预测区间世界

数据解读

  • 自 1950 年以来,在两国都有数据的每一年,乌兹别克斯坦的数值都更高。
  • 2023 年,在 229 个国家中,意大利排名第 213,乌兹别克斯坦排名第 115(从高到低)。
  • 根据联合国预测(中方案),2100 年意大利为 0.3‰,乌兹别克斯坦为 3.7‰。
  • 全球整体:2023 年为 27.3‰。

逐年数据

每 1,000 例活产死亡数 · UN

年份意大利乌兹别克斯坦世界
20232.211.127.3
20222.611.228.2
20212.311.828.4
20202.512.328.7
20192.51329.2
20182.813.829.7
20172.914.630.3
20162.815.631.1
20152.916.732.1
20142.81832.9
20132.919.433.9
201232135
20113.122.836.8
20103.224.837.7
20093.42739.1
20083.329.340.4
20073.331.642
20063.534.143.7
20053.636.645.4
20043.839.147.2
20033.741.548.8
20024.443.850.6
20014.64652.2
20004.547.953.7
19995.149.655.5
19985.45157.1
19975.552.158.3
19966.15359.6
19956.253.660.8
19946.454.162
19936.954.462.9
19928.254.864.1
19918.455.264.9
19908.155.764.9
19898.656.666.2
19889.357.968
19879.759.668.6
19869.961.670.8
198510.263.772.9
198411.165.974.6
198311.967.976.1
19821369.876.6
19811471.578.7
198014.373.180.6
197915.274.682.5
197816.776.184.7
197717.677.586.4
197618.978.888.1
197520.580.289.6
197422.981.690.9
197325.983.192.1
197226.984.793.6
197128.886.496.1
197029.188.196.9
19693189.998.3
196832.291.7100.2
196732.793.6103.1
196634.495.5104.9
196535.397.4106.4
19643799.2106.1
196340.5101.1107.7
196242.2103110.2
196141.6104.8121.5
196043.8106.6131.8
195946.1108.4125.7
195847.9110.2117.7
195750.3112120
195648.6113.8121.9
195550.5115.5124.8
195454117.2127.7
195357.8118.9130.1
195262.8120.5132.7
195164.2122.2136
195063.6123.8138.1
联合国预测(中方案) · 2024–2100
年份意大利乌兹别克斯坦世界
20242.21.8–2.712.29.3–16.126.9
20252.11.6–2.811.98.2–17.626.4
20262.11.5–2.911.67.3–18.725.9
202721.4–2.911.36.7–19.425.4
20281.91.2–311.16.2–2024.9
20291.91.1–310.85.7–20.724.5
20301.81.1–310.65.5–21.124
20311.81–310.45.2–21.923.6
20321.71–310.25–22.123.2
20331.70.9–3.1104.6–22.622.8
20341.60.8–39.84.4–2322.3
20351.60.8–39.64.2–23.321.9
20361.50.7–3.19.44.1–24.221.5
20371.50.7–39.24–23.821.1
20381.40.7–2.994–24.520.8
20391.40.7–38.83.9–24.220.4
20401.40.6–2.98.73.7–24.520
20411.30.6–2.98.53.5–24.519.7
20421.30.6–2.88.33.4–24.819.4
20431.30.5–2.88.13.3–24.819
20441.20.5–2.883.1–23.718.7
20451.20.5–2.87.83.1–25.318.4
20461.20.5–2.87.72.9–24.718.2
20471.10.5–2.77.52.8–25.317.9
20481.10.5–2.77.42.8–25.717.7
20491.10.4–2.77.22.6–24.817.5
205010.4–2.77.12.5–2517.3
205110.4–2.672.5–25.717.1
205210.4–2.76.82.4–26.216.9
205310.4–2.76.72.4–2616.7
20540.90.3–2.76.62.3–25.816.5
20550.90.3–2.66.52.3–26.516.3
20560.90.3–2.66.32.2–26.516.1
20570.90.3–2.66.22.2–24.315.9
20580.90.3–2.56.12.2–24.815.7
20590.80.3–2.562.1–25.315.5
20600.80.3–2.45.92.1–24.315.3
20610.80.2–2.55.82.1–2415.1
20620.80.2–2.65.72–2514.9
20630.80.2–2.55.62–24.914.7
20640.80.2–2.55.51.9–24.614.5
20650.70.2–2.45.51.9–23.914.3
20660.70.2–2.45.41.9–24.314.1
20670.70.2–2.35.31.9–24.413.9
20680.70.2–2.25.31.9–24.913.8
20690.70.2–2.25.21.8–24.613.6
20700.70.1–2.25.11.8–23.813.4
20710.60.1–2.25.11.8–24.413.2
20720.60.1–2.151.7–23.813
20730.60.1–2.14.91.7–24.112.9
20740.60.1–2.14.91.7–22.712.7
20750.60.1–24.81.7–23.512.6
20760.60.1–24.71.6–24.512.4
20770.60.1–1.94.71.6–23.912.3
20780.50.1–1.94.61.6–23.812.1
20790.50.1–24.61.6–23.612
20800.50.1–1.94.51.6–23.811.8
20810.50.1–1.94.51.5–24.211.7
20820.50.1–1.94.41.5–24.511.6
20830.50.1–1.94.41.5–24.111.5
20840.50.1–1.94.31.4–23.711.4
20850.50.1–1.94.31.4–2311.3
20860.40.1–1.84.21.4–22.711.1
20870.40–1.84.21.4–23.311
20880.40–1.84.11.4–22.110.9
20890.40–1.84.11.4–22.310.8
20900.40–1.741.3–21.310.7
20910.40–1.741.4–20.910.6
20920.40–1.741.3–21.310.5
20930.40–1.63.91.3–21.510.4
20940.40–1.63.91.3–20.910.3
20950.40–1.63.91.3–21.910.1
20960.40–1.63.81.2–21.410
20970.30–1.63.81.2–20.99.9
20980.30–1.63.81.2–20.69.8
20990.30–1.53.71.2–19.79.7
21000.30–1.53.71.2–19.49.6

分别查看各国

须知

  • 每 1,000 名活产婴儿中在一岁生日前死亡的人数。
  • 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

意大利与乌兹别克斯坦对比

健康

人口与社会

经济

教育

政治

冲突

军用

气候

技术与环境