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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-CENSUS / TON_2015_AC_V01_EN_M_V01_A_OCS / variable [V24]
Agricultural-Census

Agricultural Census 2015

Tonga, 2015
Reference ID
TON_2015_AC_v01_EN_M_v01_A_OCS
Producer(s)
Tonga Statistics Department, Tonga Ministry of Agriculture, Food, Forestry and Fisheries
Collections
Agricultural Censuses
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 17, 2022
Last modified
Jan 17, 2022
Page views
42481
Downloads
561
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • TON_2015_AGC_SectionA_v01
  • TON_2015_AGC_SectionA-TOT-POP_v01
  • TON_2015_AGC_SectionB_v01
  • TON_2015_AGC_SectionC_v01
  • TON_2015_AGC_SectionD_v01
  • TON_2015_AGC_SectionD1_v01
  • TON_2015_AGC_SectionD1-total_v01
  • TON_2015_AGC_SectionD2_v01
  • TON_2015_AGC_SectionD3-D4-D5-E1_v01
  • TON_2015_AGC_SectionD3-D4-D5-E1-total_v01
  • TON_2015_AGC_SectionE-A_v01
  • TON_2015_AGC_SectionE-B_v01
  • TON_2015_AGC_SectionF-F1-F2-F3-F4-F6_v01
  • TON_2015_AGC_SectionF-F5_v01
  • TON_2015_AGC_SectionF-F7_v01
  • TON_2015_AGC_SectionG1-1_v01
  • TON_2015_AGC_SectionG1-2_v01
  • TON_2015_AGC_SectionG2-1_v01
  • TON_2015_AGC_SectionG2-2_v01
  • TON_2015_AGC_SectionG3_v01
  • TON_2015_AGC_SectionH1_v01
  • TON_2015_AGC_SectionH2-H3-H4-H5_v01
  • TON_2015_AGC_SectionI_v01
  • TON_2015_AGC_SectionJ_v01
  • TON_2015_AGC_SectionK1-1_v01
  • TON_2015_AGC_SectionK1-2_v01
  • TON_2015_AGC_SectionK2-1_v01
  • TON_2015_AGC_SectionK2-2_v01
  • TON_2015_AGC_SectionL_v01
  • TON_2015_AGC_SectionM1_v01
  • TON_2015_AGC_SectionM2_v01
  • TON_2015_AGC_SectionM3_v01

Age (b_col5)

Data file: TON_2015_AGC_SectionB_v01

Overview

Valid: 91131
Invalid: 100
Minimum: 0
Maximum: 999
Type: Discrete
Decimal: 0
Start: 33
End: 35
Width: 3
Range: 0 - 999
Format: Numeric

Questions and instructions

Literal question
Age (yrs.)
Categories
Value Category Cases
0 1188
1.3%
1 2504
2.7%
2 2068
2.3%
3 2306
2.5%
4 2248
2.5%
5 2127
2.3%
6 2020
2.2%
7 2220
2.4%
8 2311
2.5%
9 2261
2.5%
10 2373
2.6%
11 1975
2.2%
12 2135
2.3%
13 2066
2.3%
14 2190
2.4%
15 2176
2.4%
16 2004
2.2%
17 1924
2.1%
18 1992
2.2%
19 1670
1.8%
20 1785
2%
21 1591
1.7%
22 1607
1.8%
23 1496
1.6%
24 1352
1.5%
25 1438
1.6%
26 1226
1.3%
27 1157
1.3%
28 1323
1.5%
29 1158
1.3%
30 1426
1.6%
31 936
1%
32 1299
1.4%
33 1021
1.1%
34 1033
1.1%
35 1166
1.3%
36 909
1%
37 923
1%
38 1057
1.2%
39 982
1.1%
40 1171
1.3%
41 708
0.8%
42 1064
1.2%
43 916
1%
44 822
0.9%
45 1218
1.3%
46 911
1%
47 824
0.9%
48 916
1%
49 896
1%
50 930
1%
51 613
0.7%
52 763
0.8%
53 723
0.8%
54 703
0.8%
55 665
0.7%
56 571
0.6%
57 506
0.6%
58 616
0.7%
59 557
0.6%
60 644
0.7%
61 398
0.4%
62 505
0.6%
63 453
0.5%
64 434
0.5%
65 518
0.6%
66 314
0.3%
67 350
0.4%
68 391
0.4%
69 470
0.5%
70 367
0.4%
71 203
0.2%
72 275
0.3%
73 267
0.3%
74 257
0.3%
75 334
0.4%
76 311
0.3%
77 197
0.2%
78 179
0.2%
79 208
0.2%
80 167
0.2%
81 115
0.1%
82 100
0.1%
83 149
0.2%
84 135
0.1%
85 105
0.1%
86 95
0.1%
87 64
0.1%
88 48
0.1%
89 45
0%
90 25
0%
91 21
0%
92 16
0%
93 19
0%
94 10
0%
95 6
0%
96 96+ 11
0%
98 DK 5
0%
999 184
0.2%
Sysmiss 100
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
Ask for the age as of last birthday of each household member listed, fill in the age in years. Age must be rounded up, if somebody is 24 years and 4 months then fill in 25 years.
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