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按工作地点规划区、年龄组与性别划分的15岁及以上就业居民(2020年人口普查)

简介

本数据集来自新加坡2020年人口普查,由新加坡统计局发布,以CSV按工作地点规划区、年龄组与性别统计15岁及以上就业居民;规划区依据URA《总体规划2019》,指通常工作地点而非冠病临时安排,“其他”含在家、海外或无固定地点工作。便于按年龄与性别绘制工作地点分布。改编自:https://tablebuilder.singstat.gov.sg/table/CT/17945

官方简介

来源:新加坡统计局 数据最后更新:2024年8月13日 更新频率:10年 调查期:2020年人口普查 脚注:注: 规划区依据市区重建局《总体规划2019》划定。 数据指通常工作地点,而非因冠病措施产生的临时安排。 “其他”包括在家工作、在海外工作或无固定工作地点者。 改编自:https://tablebuilder.singstat.gov.sg/table/CT/17945

最近更新
行数
7
列数
34

图表

当多行属于同一类别时,数值会被求和。

数据

Number (Total) Total [Total] (Age Group (Years)) Below 25 [Total] (Age Group (Years)) 25 - 29 [Total] (Age Group (Years)) 30 - 34 [Total] (Age Group (Years)) 35 - 39 [Total] (Age Group (Years)) 40 - 44 [Total] (Age Group (Years)) 45 - 49 [Total] (Age Group (Years)) 50 - 54 [Total] (Age Group (Years)) 55 - 59 [Total] (Age Group (Years)) 60 - 64 [Total] (Age Group (Years)) 65 & Over (Males) Total [Males] (Age Group (Years)) Below 25 [Males] (Age Group (Years)) 25 - 29 [Males] (Age Group (Years)) 30 - 34 [Males] (Age Group (Years)) 35 - 39 [Males] (Age Group (Years)) 40 - 44 [Males] (Age Group (Years)) 45 - 49 [Males] (Age Group (Years)) 50 - 54 [Males] (Age Group (Years)) 55 - 59 [Males] (Age Group (Years)) 60 - 64 [Males] (Age Group (Years)) 65 & Over (Females) Total [Females] (Age Group (Years)) Below 25 [Females] (Age Group (Years)) 25 - 29 [Females] (Age Group (Years)) 30 - 34 [Females] (Age Group (Years)) 35 - 39 [Females] (Age Group (Years)) 40 - 44 [Females] (Age Group (Years)) 45 - 49 [Females] (Age Group (Years)) 50 - 54 [Females] (Age Group (Years)) 55 - 59 [Females] (Age Group (Years)) 60 - 64 [Females] (Age Group (Years)) 65 & Over
Total 2208358.000000 140505.000000 239835.000000 264464.000000 258988.000000 253633.000000 258046.000000 228496.000000 216057.000000 175383.000000 172950.000000 1178431.000000 78562.000000 115745.000000 131005.000000 130349.000000 129820.000000 138556.000000 125969.000000 121669.000000 101614.000000 105143.000000 1029927.000000 61943.000000 124090.000000 133459.000000 128639.000000 123814.000000 119490.000000 102527.000000 94388.000000 73769.000000 67807.000000
Central 1043008.000000 53238.000000 131920.000000 147338.000000 137958.000000 126513.000000 121505.000000 97341.000000 86036.000000 69264.000000 71893.000000 491374.000000 18370.000000 57049.000000 67471.000000 63935.000000 58762.000000 59304.000000 48414.000000 43168.000000 35122.000000 39779.000000 551633.000000 34868.000000 74871.000000 79867.000000 74023.000000 67751.000000 62202.000000 48927.000000 42868.000000 34142.000000 32115.000000
East 248030.000000 17823.000000 27068.000000 27011.000000 28175.000000 28280.000000 28145.000000 27993.000000 25787.000000 20700.000000 17050.000000 138199.000000 10903.000000 14757.000000 14430.000000 15234.000000 15877.000000 16389.000000 15052.000000 13912.000000 11394.000000 10251.000000 109831.000000 6920.000000 12311.000000 12581.000000 12940.000000 12403.000000 11756.000000 12940.000000 11875.000000 9305.000000 6799.000000
North-East 166942.000000 11459.000000 16330.000000 18033.000000 17885.000000 18006.000000 19744.000000 18095.000000 17343.000000 14378.000000 15669.000000 82814.000000 6956.000000 7206.000000 8372.000000 8328.000000 8508.000000 9988.000000 9289.000000 8343.000000 7313.000000 8511.000000 84128.000000 4503.000000 9124.000000 9661.000000 9558.000000 9498.000000 9756.000000 8806.000000 8999.000000 7065.000000 7158.000000
North 153904.000000 13563.000000 13953.000000 14675.000000 14546.000000 16705.000000 18536.000000 17724.000000 17461.000000 14022.000000 12719.000000 85535.000000 9493.000000 7536.000000 7313.000000 8018.000000 8875.000000 9692.000000 9489.000000 9694.000000 8060.000000 7365.000000 68370.000000 4070.000000 6417.000000 7362.000000 6528.000000 7830.000000 8844.000000 8236.000000 7767.000000 5962.000000 5354.000000
West 342666.000000 31476.000000 31243.000000 34829.000000 36336.000000 38630.000000 41611.000000 37512.000000 36341.000000 29033.000000 25655.000000 204224.000000 24120.000000 17169.000000 19176.000000 19717.000000 21205.000000 24112.000000 22111.000000 21888.000000 18060.000000 16665.000000 138443.000000 7356.000000 14074.000000 15653.000000 16618.000000 17425.000000 17499.000000 15401.000000 14453.000000 10973.000000 8991.000000
Others 253808.000000 12946.000000 19321.000000 22578.000000 24089.000000 25501.000000 28504.000000 29831.000000 33090.000000 27985.000000 29963.000000 176286.000000 8720.000000 12028.000000 14243.000000 15117.000000 16594.000000 19071.000000 21614.000000 24664.000000 21663.000000 22572.000000 77522.000000 4226.000000 7293.000000 8335.000000 8972.000000 8907.000000 9433.000000 8217.000000 8426.000000 6322.000000 7391.000000

字段

字段 类型 分类字段
Number Text
(Total) Total Numeric
[Total] (Age Group (Years)) Below 25 Numeric
[Total] (Age Group (Years)) 25 - 29 Numeric
[Total] (Age Group (Years)) 30 - 34 Numeric
[Total] (Age Group (Years)) 35 - 39 Numeric
[Total] (Age Group (Years)) 40 - 44 Numeric
[Total] (Age Group (Years)) 45 - 49 Numeric
[Total] (Age Group (Years)) 50 - 54 Numeric
[Total] (Age Group (Years)) 55 - 59 Numeric
[Total] (Age Group (Years)) 60 - 64 Numeric
[Total] (Age Group (Years)) 65 & Over Numeric
(Males) Total Numeric
[Males] (Age Group (Years)) Below 25 Numeric
[Males] (Age Group (Years)) 25 - 29 Numeric
[Males] (Age Group (Years)) 30 - 34 Numeric
[Males] (Age Group (Years)) 35 - 39 Numeric
[Males] (Age Group (Years)) 40 - 44 Numeric
[Males] (Age Group (Years)) 45 - 49 Numeric
[Males] (Age Group (Years)) 50 - 54 Numeric
[Males] (Age Group (Years)) 55 - 59 Numeric
[Males] (Age Group (Years)) 60 - 64 Numeric
[Males] (Age Group (Years)) 65 & Over Numeric
(Females) Total Numeric
[Females] (Age Group (Years)) Below 25 Numeric
[Females] (Age Group (Years)) 25 - 29 Numeric
[Females] (Age Group (Years)) 30 - 34 Numeric
[Females] (Age Group (Years)) 35 - 39 Numeric
[Females] (Age Group (Years)) 40 - 44 Numeric
[Females] (Age Group (Years)) 45 - 49 Numeric
[Females] (Age Group (Years)) 50 - 54 Numeric
[Females] (Age Group (Years)) 55 - 59 Numeric
[Females] (Age Group (Years)) 60 - 64 Numeric
[Females] (Age Group (Years)) 65 & Over Numeric