2000年人口普查:5岁及以上居民学生(上学交通方式、住房类型与性别)
简介
本数据集依据2000年人口普查,由新加坡统计局发布,统计5岁及以上居民学生按上学常用交通方式、住房类型与性别划分的人数;住房类别涵盖各型号HDB组屋、共管公寓及其他公寓、有地住宅等,并分男女,便于分析通学方式与住房形态关系。改编自:https://tablebuilder.singstat.gov.sg/table/CT/10513
官方简介
来源:新加坡统计局。 数据最后更新:2016年8月2日 更新频率:每10年一次 调查时期:2000年人口普查 改编自:https://tablebuilder.singstat.gov.sg/table/CT/10513
- 最近更新
- 行数
- 15
- 列数
- 28
图表
当多行属于同一类别时,数值会被求和。
数据
| Number | (Total) Total | (Total) HDB Dwellings- Total^ | (Total) HDB Dwellings- 1- And 2-Room Flats# | (Total) HDB Dwellings- 3-Room Flats | (Total) HDB Dwellings- 4-Room Flats | (Total) HDB Dwellings- 5-Room And Executive Flats | (Total) Condomi- Niums And Other Apartments | (Total) Landed Properties | (Total) Others | (Males) Total | (Males) HDB Dwellings- Total^ | (Males) HDB Dwellings- 1- And 2-Room Flats# | (Males) HDB Dwellings- 3-Room Flats | (Males) HDB Dwellings- 4-Room Flats | (Males) HDB Dwellings- 5-Room And Executive Flats | (Males) Condomi- Niums And Other Apartments | (Males) Landed Properties | (Males) Others | (Females) Total | (Females) HDB Dwellings- Total^ | (Females) HDB Dwellings- 1- And 2-Room Flats# | (Females) HDB Dwellings- 3-Room Flats | (Females) HDB Dwellings- 4-Room Flats | (Females) HDB Dwellings- 5-Room And Executive Flats | (Females) Condomi- Niums And Other Apartments | (Females) Landed Properties | (Females) Others |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 706292.000000 | 614449.000000 | 12023 | 122110.000000 | 265952.000000 | 208425.000000 | 46915.000000 | 42775.000000 | 2153 | 365587.000000 | 318800.000000 | 6144 | 63262.000000 | 138619.000000 | 107686.000000 | 23847.000000 | 21840.000000 | 1100 | 340705.000000 | 295649.000000 | 5878 | 58847.000000 | 127333.000000 | 100739.000000 | 23068 | 20935 | 1053 |
| No Transport Required | 212333.000000 | 203630.000000 | 4296 | 43906.000000 | 94076.000000 | 60798.000000 | 4533.000000 | 3625.000000 | 546 | 111218.000000 | 106856.000000 | 2191 | 23112.000000 | 49361.000000 | 31936.000000 | 2331.000000 | 1743.000000 | 288 | 101115.000000 | 96774.000000 | 2105 | 20794.000000 | 44715.000000 | 28862.000000 | 2202 | 1882 | 258 |
| One Mode Of Transport | 408648.000000 | 340058.000000 | 6671 | 66201.000000 | 143605.000000 | 119250.000000 | 35093.000000 | 32111.000000 | 1387 | 211440.000000 | 176359.000000 | 3400 | 34118.000000 | 74960.000000 | 61583.000000 | 17926.000000 | 16468.000000 | 687 | 197208.000000 | 163699.000000 | 3270 | 32083.000000 | 68645.000000 | 57667.000000 | 17167 | 15643 | 699 |
| Public Bus Only | 223016.000000 | 203559.000000 | 5143 | 47962.000000 | 89714.000000 | 59058.000000 | 10166.000000 | 8481.000000 | 810 | 116033.000000 | 105954.000000 | 2649 | 24809.000000 | 46970.000000 | 30678.000000 | 5314.000000 | 4342.000000 | 423 | 106982.000000 | 97605.000000 | 2495 | 23154.000000 | 42744.000000 | 28380.000000 | 4851 | 4139 | 387 |
| Private Chartered Bus/Van Only | 99953.000000 | 77777.000000 | 891 | 10458.000000 | 31119.000000 | 33743.000000 | 13052.000000 | 8918.000000 | 206 | 50726.000000 | 39619.000000 | 466 | 5341.000000 | 15863.000000 | 17112.000000 | 6500.000000 | 4511.000000 | 96 | 49227.000000 | 38159.000000 | 425 | 5116.000000 | 15256.000000 | 16632.000000 | 6552 | 4407 | 110 |
| MRT Only | 19673.000000 | 18436.000000 | 325 | 3392.000000 | 8167.000000 | 6497.000000 | 654.000000 | 514.000000 | 69 | 9754.000000 | 9078.000000 | 142 | 1532.000000 | 4189.000000 | 3189.000000 | 356.000000 | 276.000000 | 43 | 9919.000000 | 9358.000000 | 183 | 1860.000000 | 3978.000000 | 3309.000000 | 298 | 237 | 26 |
| Car Only | 54810.000000 | 30330.000000 | 187 | 2656.000000 | 10062.000000 | 16483.000000 | 10535.000000 | 13652.000000 | 292 | 28032.000000 | 15571.000000 | 77 | 1372.000000 | 5050.000000 | 8551.000000 | 5335.000000 | 7006.000000 | 120 | 26778.000000 | 14759.000000 | 110 | 1284.000000 | 5013.000000 | 7932.000000 | 5201 | 6647 | 172 |
| Taxi Only | 994.000000 | 796.000000 | 19 | 208.000000 | 229.000000 | 326.000000 | 110.000000 | 78.000000 | 10 | 454.000000 | 344.000000 | 5 | 63.000000 | 113.000000 | 154.000000 | 72.000000 | 34.000000 | 5 | 540.000000 | 452.000000 | 14 | 145.000000 | 116.000000 | 172.000000 | 38 | 45 | 5 |
| Lorry/Pickup Only | 553.000000 | 524.000000 | na | 56.000000 | 329.000000 | 139.000000 | 10.000000 | 19.000000 | na | 271.000000 | 257.000000 | na | 26.000000 | 163.000000 | 67.000000 | 5.000000 | 10.000000 | na | 282.000000 | 268.000000 | na | 30.000000 | 166.000000 | 72.000000 | 5 | 10 | na |
| Motorcycle/Scooter Only | 2409.000000 | 2255.000000 | 29 | 537.000000 | 1024.000000 | 646.000000 | 58.000000 | 96.000000 | na | 2120.000000 | 1966.000000 | 29 | 459.000000 | 873.000000 | 587.000000 | 58.000000 | 96.000000 | na | 288.000000 | 288.000000 | na | 78.000000 | 151.000000 | 59.000000 | na | na | na |
| Others | 7239.000000 | 6379.000000 | 77 | 933.000000 | 2961.000000 | 2358.000000 | 508.000000 | 352.000000 | na | 4049.000000 | 3570.000000 | 34 | 517.000000 | 1739.000000 | 1246.000000 | 286.000000 | 193.000000 | na | 3190.000000 | 2809.000000 | 43 | 416.000000 | 1222.000000 | 1112.000000 | 222 | 159 | na |
| Two Or More Modes Of Transport | 85311.000000 | 70760.000000 | 1056 | 12002.000000 | 28271.000000 | 28377.000000 | 7290.000000 | 7040.000000 | 221 | 42929.000000 | 35584.000000 | 552 | 6032.000000 | 14298.000000 | 14167.000000 | 3591.000000 | 3629.000000 | 125 | 42382.000000 | 35176.000000 | 503 | 5970.000000 | 13973.000000 | 14210.000000 | 3699 | 3411 | 96 |
| MRT & Public Bus Only | 55750.000000 | 50691.000000 | 905 | 9964.000000 | 21384.000000 | 18033.000000 | 2554.000000 | 2361.000000 | 144 | 27816.000000 | 25255.000000 | 473 | 4998.000000 | 10731.000000 | 8831.000000 | 1349.000000 | 1130.000000 | 82 | 27934.000000 | 25436.000000 | 432 | 4966.000000 | 10653.000000 | 9201.000000 | 1205 | 1231 | 62 |
| MRT & Car Only | 864.000000 | 630.000000 | na | 24.000000 | 192.000000 | 405.000000 | 104.000000 | 120.000000 | 10 | 432.000000 | 305.000000 | na | 19.000000 | 91.000000 | 190.000000 | 54.000000 | 63.000000 | 10 | 432.000000 | 325.000000 | na | 5.000000 | 100.000000 | 215.000000 | 49 | 57 | na |
| Others | 28697.000000 | 19439.000000 | 151 | 2015.000000 | 6696.000000 | 9939.000000 | 4633.000000 | 4558.000000 | 67 | 14681.000000 | 10023.000000 | 79 | 1015.000000 | 3476.000000 | 5146.000000 | 2187.000000 | 2436.000000 | 34 | 14016.000000 | 9416.000000 | 72 | 999.000000 | 3220.000000 | 4793.000000 | 2445 | 2122 | 33 |
字段
| 字段 | 类型 | 分类字段 |
|---|---|---|
| Number | Text | 否 |
| (Total) Total | Numeric | 否 |
| (Total) HDB Dwellings- Total^ | Numeric | 否 |
| (Total) HDB Dwellings- 1- And 2-Room Flats# | Text | 否 |
| (Total) HDB Dwellings- 3-Room Flats | Numeric | 否 |
| (Total) HDB Dwellings- 4-Room Flats | Numeric | 否 |
| (Total) HDB Dwellings- 5-Room And Executive Flats | Numeric | 否 |
| (Total) Condomi- Niums And Other Apartments | Numeric | 否 |
| (Total) Landed Properties | Numeric | 否 |
| (Total) Others | Text | 否 |
| (Males) Total | Numeric | 否 |
| (Males) HDB Dwellings- Total^ | Numeric | 否 |
| (Males) HDB Dwellings- 1- And 2-Room Flats# | Text | 否 |
| (Males) HDB Dwellings- 3-Room Flats | Numeric | 否 |
| (Males) HDB Dwellings- 4-Room Flats | Numeric | 否 |
| (Males) HDB Dwellings- 5-Room And Executive Flats | Numeric | 否 |
| (Males) Condomi- Niums And Other Apartments | Numeric | 否 |
| (Males) Landed Properties | Numeric | 否 |
| (Males) Others | Text | 否 |
| (Females) Total | Numeric | 否 |
| (Females) HDB Dwellings- Total^ | Numeric | 否 |
| (Females) HDB Dwellings- 1- And 2-Room Flats# | Text | 否 |
| (Females) HDB Dwellings- 3-Room Flats | Numeric | 否 |
| (Females) HDB Dwellings- 4-Room Flats | Numeric | 否 |
| (Females) HDB Dwellings- 5-Room And Executive Flats | Numeric | 否 |
| (Females) Condomi- Niums And Other Apartments | Text | 否 |
| (Females) Landed Properties | Text | 否 |
| (Females) Others | Text | 否 |