combined_dep_and_ckb_logo

Section

Background.Demographics


Data summary

Baseline

Variable Stats / Values Freqs (% of Valid) Graph Missing
highest_education [factor]
  1. No formal school
  1. Primary School
  1. Middle School
  1. High School
  1. Technical school / colleg
  1. University
95541 ( 18.5% )
165869 ( 32.2% )
145678 ( 28.3% )
78051 ( 15.1% )
18453 ( 3.6% )
11821 ( 2.3% )
0 (0.0%)
occupation [factor]
  1. Agriculture & related wor
  1. Factory worker
  1. Administrator / manager
  1. Professional / technical
  1. Sales & service workers
  1. Retired
  1. House wife / husband
  1. Self-employed
  1. Unemployed
  1. Other or not stated
214216 ( 41.6% )
72818 ( 14.1% )
11198 ( 2.2% )
15851 ( 3.1% )
25487 ( 4.9% )
86099 ( 16.7% )
53790 ( 10.4% )
13974 ( 2.7% )
13675 ( 2.7% )
8305 ( 1.6% )
0 (0.0%)
household_size [integer]
Mean (sd) : 3.8 (1.5)
min ≤ med ≤ max:
1 ≤ 4 ≤ 22
IQR (CV) : 2 (0.4)
21 distinct values 0 (0.0%)
marital_status [factor]
  1. Married
  1. Widowed
  1. Separated / divorced
  1. Never married
466751 ( 90.6% )
36823 ( 7.1% )
7979 ( 1.5% )
3860 ( 0.7% )
0 (0.0%)
household_income [factor]
  1. <2,500 yuan
  1. 2,500-4,999 yuan
  1. 5,000-9,999 yuan
  1. 10,000-19,999 yuan
  1. 20,000-34,999 yuan
  1. =35,000 yuan
15568 ( 3.0% )
34720 ( 6.7% )
94870 ( 18.4% )
149849 ( 29.1% )
127586 ( 24.8% )
92820 ( 18.0% )
0 (0.0%)
has_health_cover [factor]
  1. No
  1. Yes
91735 ( 17.8% )
423678 ( 82.2% )
0 (0.0%)
has_own_home [factor]
  1. No
  1. Yes
288645 ( 56.0% )
226768 ( 44.0% )
0 (0.0%)
has_private_toilet [factor]
  1. No
  1. Yes
254343 ( 49.3% )
261070 ( 50.7% )
0 (0.0%)
has_phone [factor]
  1. No
  1. Yes
57252 ( 11.1% )
458161 ( 88.9% )
0 (0.0%)
has_motor_vehicle [factor]
  1. No
  1. Yes
245400 ( 47.6% )
270013 ( 52.4% )
0 (0.0%)
had_recent_holiday [factor]
  1. No
  1. Yes
465874 ( 90.4% )
49539 ( 9.6% )
0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.3.1)
2024-02-27

Qc

Variable Stats / Values Freqs (% of Valid) Graph Missing
highest_education [factor]
  1. No formal school
  1. Primary School
  1. Middle School
  1. High School
  1. Technical school / colleg
  1. University
2712 ( 17.1% )
5218 ( 33.0% )
4412 ( 27.9% )
2514 ( 15.9% )
627 ( 4.0% )
333 ( 2.1% )
0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.3.1)
2024-02-27

Resurvey 1

Variable Stats / Values Freqs (% of Valid) Graph Missing
highest_education [factor]
  1. No formal school
  1. Primary School
  1. Middle School
  1. High School
  1. Technical school / colleg
  1. University
3672 ( 18.5% )
6903 ( 34.9% )
5358 ( 27.1% )
2578 ( 13.0% )
661 ( 3.3% )
631 ( 3.2% )
0 (0.0%)
occupation [factor]
  1. Agriculture & related wor
  1. Factory worker
  1. Administrator / manager
  1. Professional / technical
  1. Sales & service workers
  1. Retired
  1. House wife / husband
  1. Self-employed
  1. Unemployed
  1. Other or not stated
8048 ( 40.6% )
2103 ( 10.6% )
700 ( 3.5% )
413 ( 2.1% )
1010 ( 5.1% )
4132 ( 20.9% )
2232 ( 11.3% )
367 ( 1.9% )
495 ( 2.5% )
303 ( 1.5% )
0 (0.0%)
household_size [integer]
Mean (sd) : 3.8 (1.6)
min ≤ med ≤ max:
1 ≤ 4 ≤ 18
IQR (CV) : 2 (0.4)
18 distinct values 0 (0.0%)
marital_status [factor]
  1. Married
  1. Widowed
  1. Separated / divorced
  1. Never married
17922 ( 90.5% )
1576 ( 8.0% )
204 ( 1.0% )
101 ( 0.5% )
0 (0.0%)
household_income [factor]
  1. <2,500 yuan
  1. 2,500-4,999 yuan
  1. 5,000-9,999 yuan
  1. 10,000-19,999 yuan
  1. 20,000-34,999 yuan
  1. =35,000 yuan
333 ( 1.7% )
677 ( 3.4% )
2473 ( 12.5% )
5395 ( 27.2% )
5219 ( 26.4% )
5706 ( 28.8% )
0 (0.0%)
has_health_cover [factor]
  1. No
  1. Yes
623 ( 3.1% )
19180 ( 96.9% )
0 (0.0%)
has_own_home [factor]
  1. No
  1. Yes
12333 ( 62.3% )
7470 ( 37.7% )
0 (0.0%)
has_private_toilet [factor]
  1. No
  1. Yes
9417 ( 47.6% )
10386 ( 52.4% )
0 (0.0%)
has_phone [factor]
  1. No
  1. Yes
1177 ( 5.9% )
18626 ( 94.1% )
0 (0.0%)
has_motor_vehicle [factor]
  1. No
  1. Yes
8398 ( 42.4% )
11405 ( 57.6% )
0 (0.0%)
had_recent_holiday [factor]
  1. No
  1. Yes
17565 ( 88.7% )
2238 ( 11.3% )
0 (0.0%)
has_tap_water [factor]
  1. No
  1. Yes
1992 ( 10.1% )
17811 ( 89.9% )
0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.3.1)
2024-02-27

Resurvey 2

Variable Stats / Values Freqs (% of Valid) Graph Missing
highest_education [factor]
  1. No formal school
  1. Primary School
  1. Middle School
  1. High School
  1. Technical school / colleg
  1. University
5077 ( 20.2% )
8054 ( 32.1% )
7084 ( 28.2% )
3431 ( 13.7% )
707 ( 2.8% )
729 ( 2.9% )
170 (0.7%)
born_local_province [factor]
  1. Yes
  1. No
  1. Don’t know
23757 ( 94.7% )
1312 ( 5.2% )
13 ( 0.1% )
170 (0.7%)
occupation [factor]
  1. Agriculture & related wor
  1. Factory worker
  1. Administrator / manager
  1. Professional / technical
  1. Sales & service workers
  1. Retired
  1. House wife / husband
  1. Self-employed
  1. Unemployed
  1. Other or not stated
6190 ( 24.7% )
3288 ( 13.1% )
733 ( 2.9% )
477 ( 1.9% )
625 ( 2.5% )
5949 ( 23.7% )
5472 ( 21.8% )
793 ( 3.2% )
444 ( 1.8% )
1111 ( 4.4% )
170 (0.7%)
non_local_birth_province [factor]
  1. Anhui
  1. Beijing
  1. Chongqing
  1. Fujian
  1. Gansu (local province for
  1. Guangdong
  1. Guangxi (local province f
  1. Guizhou
  1. Hainan (local province fo
  1. Hebei
[ 23 others ]
30 ( 2.3% )
19 ( 1.4% )
3 ( 0.2% )
9 ( 0.7% )
10 ( 0.8% )
85 ( 6.5% )
15 ( 1.1% )
18 ( 1.4% )
9 ( 0.7% )
75 ( 5.7% )
1039 ( 79.2% )
23940 (94.8%)
other_province_ancestors [factor]
  1. Yes
  1. No
  1. Don’t know
3796 ( 15.1% )
21128 ( 84.2% )
158 ( 0.6% )
170 (0.7%)
marital_status [factor]
  1. Married
  1. Widowed
  1. Separated / divorced
  1. Never married
21841 ( 87.1% )
2794 ( 11.1% )
346 ( 1.4% )
101 ( 0.4% )
170 (0.7%)
han_chinese [factor]
  1. Yes
  1. Partly (i.e. Han-mixed)
  1. No
  1. Don’t know
24253 ( 96.7% )
230 ( 0.9% )
489 ( 1.9% )
110 ( 0.4% )
170 (0.7%)
ancestors_non_han_mixed [factor]
  1. Yes
  1. No
  1. Don’t know
844 ( 3.4% )
23805 ( 96.0% )
159 ( 0.6% )
444 (1.8%)
has_health_cover [factor]
  1. No
  1. Yes
553 ( 2.2% )
24529 ( 97.8% )
170 (0.7%)
have_religion [factor]
  1. Yes
  1. Do not wish to say
  1. No
2313 ( 9.2% )
35 ( 0.1% )
22734 ( 90.6% )
170 (0.7%)
has_own_home [factor]
  1. No
  1. Yes
9120 ( 36.4% )
15962 ( 63.6% )
170 (0.7%)
religion [factor]
  1. Bhuddist
  1. Christian
  1. Muslim
  1. Other
1734 ( 75.0% )
416 ( 18.0% )
59 ( 2.6% )
104 ( 4.5% )
22939 (90.8%)
has_private_toilet [factor]
  1. No
  1. Yes
8723 ( 34.8% )
16359 ( 65.2% )
170 (0.7%)
has_phone [factor]
  1. No
  1. Yes
1466 ( 5.8% )
23616 ( 94.2% )
170 (0.7%)
last_occupation [factor]
  1. Agriculture & related wor
  1. Factory worker
  1. Administrator / manager
  1. Professional / technical
  1. Sales & service workers
  1. Retired
  1. House wife / husband
  1. Self-employed
  1. Unemployed
  1. Other or not stated
235 ( 4.0% )
3149 ( 52.9% )
784 ( 13.2% )
818 ( 13.8% )
561 ( 9.4% )
63 ( 1.1% )
94 ( 1.6% )
15 ( 0.3% )
230 ( 3.9% )
0 ( 0.0% )
19303 (76.4%)
had_recent_holiday [factor]
  1. No
  1. Yes
18108 ( 72.2% )
6974 ( 27.8% )
170 (0.7%)
retirement_reason [factor]
  1. Reaching retirement age
  1. Health related (excluding
  1. Other
5109 ( 85.9% )
234 ( 3.9% )
606 ( 10.2% )
19303 (76.4%)
has_tap_water [factor]
  1. No
  1. Yes
3016 ( 12.0% )
22066 ( 88.0% )
170 (0.7%)
household_size2 [integer]
Mean (sd) : 3.9 (1.8)
min ≤ med ≤ max:
1 ≤ 4 ≤ 18
IQR (CV) : 3 (0.5)
17 distinct values 170 (0.7%)
household_income2 [factor]
  1. <2,500 yuan
  1. 2,500-4,999 yuan
  1. 5,000-9,999 yuan
  1. 10,000-19,999 yuan
  1. 20,000-34,999 yuan
  1. 35,000-49,999 yuan
  1. 50,000-74,999 yuan
  1. 75,000-99,999 yuan
  1. =100,000 yuan
389 ( 1.6% )
645 ( 2.6% )
1143 ( 4.6% )
3088 ( 12.3% )
4853 ( 19.3% )
4168 ( 16.6% )
4466 ( 17.8% )
2116 ( 8.4% )
4214 ( 16.8% )
170 (0.7%)
has_car [factor]
  1. No
  1. Yes
17790 ( 70.9% )
7292 ( 29.1% )
170 (0.7%)
has_other_motor_vehicle [factor]
  1. No
  1. Yes
8276 ( 33.0% )
16806 ( 67.0% )
170 (0.7%)
has_computer [factor]
  1. No
  1. Yes
11157 ( 44.5% )
13925 ( 55.5% )
170 (0.7%)
has_web_access [factor]
  1. No
  1. Yes
12453 ( 49.6% )
12629 ( 50.4% )
170 (0.7%)
has_email_qq [factor]
  1. No
  1. Yes
22284 ( 88.8% )
2798 ( 11.2% )
170 (0.7%)
id_ethnic_group_id [factor]
  1. Han
  1. Mongol
  1. Hui
  1. Zang
  1. Uygur
  1. Miao
  1. Yi
  1. Zhuang
  1. Buyei
  1. Chosen
[ 47 others ]
22338 ( 97.7% )
4 ( 0.0% )
63 ( 0.3% )
0 ( 0.0% )
0 ( 0.0% )
8 ( 0.0% )
0 ( 0.0% )
341 ( 1.5% )
0 ( 0.0% )
10 ( 0.0% )
106 ( 0.5% )
2382 (9.4%)
id_type [factor]
  1. No document - this should
  1. Second Generation card 
    ·
  1. First generation ID card
  1. Hukou books
  1. Driving license
  1. Other (Marriage certifica
0 ( 0.0% )
23809 ( 95.3% )
97 ( 0.4% )
442 ( 1.8% )
24 ( 0.1% )
609 ( 2.4% )
271 (1.1%)

Generated by summarytools 1.0.1 (R version 4.3.1)
2024-02-27





International Coordinating Centre, China Kadoorie Biobank (CKB), CTSU, Nuffield Department of Population Health, University of Oxford Old Road Campus, Headington, Oxford, OX3 7LF

Tel: +44 (0)1865 743743 | Fax: +44 (0)1865 743985 | Email:

Copyright China Kadoorie Biobank (CKB), University of Oxford, (2024)

Page generated: 27-02-2024