Home / Central Data Catalog / KHM_2019_IAGS_V01_M / variable [F20]
central

Inter-Censual Agricultural Survey 2019

Cambodia, 2019
Get Microdata
Reference ID
KHM_2019_IAgS_v01_M
Producer(s)
National Institute of Statistics (NIS), Ministry of Agriculture, Forestry and Fishery (MAFF)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Oct 06, 2023
Last modified
Oct 17, 2023
Page views
11090
Downloads
66

What was the harvest?(enter number of fish) (s04aq03c)

Data file: S04a_aquaculture

Overview

Valid: 741
Invalid: 2
Type: Discrete
Decimal: 0
Width: 10
Range: -1 - 100000
Format: Numeric

Questions and instructions

Literal question
What was the harvest of [SPECIES1] during the last 12 months (enter number of kilograms)?
Categories
Value Category Cases
-1 Don't know 21
2.8%
0 53
7.2%
1 21
2.8%
2 9
1.2%
3 8
1.1%
4 1
0.1%
5 14
1.9%
6 3
0.4%
7 5
0.7%
8 1
0.1%
10 22
3%
12 3
0.4%
15 12
1.6%
18 1
0.1%
19 1
0.1%
20 23
3.1%
21 1
0.1%
22 1
0.1%
25 2
0.3%
28 1
0.1%
30 25
3.4%
31 1
0.1%
36 1
0.1%
39 1
0.1%
40 16
2.2%
42 1
0.1%
43 1
0.1%
45 2
0.3%
50 29
3.9%
55 1
0.1%
56 5
0.7%
59 1
0.1%
60 11
1.5%
64 1
0.1%
65 2
0.3%
67 1
0.1%
69 2
0.3%
70 6
0.8%
73 1
0.1%
78 1
0.1%
80 1
0.1%
83 4
0.5%
85 3
0.4%
86 1
0.1%
89 1
0.1%
90 4
0.5%
97 2
0.3%
100 24
3.2%
101 1
0.1%
111 4
0.5%
120 5
0.7%
121 1
0.1%
125 1
0.1%
130 1
0.1%
135 1
0.1%
137 1
0.1%
139 8
1.1%
140 2
0.3%
146 1
0.1%
149 1
0.1%
150 15
2%
152 1
0.1%
153 2
0.3%
155 1
0.1%
158 1
0.1%
159 1
0.1%
160 2
0.3%
161 1
0.1%
167 3
0.4%
175 1
0.1%
180 3
0.4%
184 1
0.1%
189 7
0.9%
190 1
0.1%
194 1
0.1%
200 27
3.6%
210 2
0.3%
217 4
0.5%
220 1
0.1%
222 1
0.1%
235 2
0.3%
237 1
0.1%
238 1
0.1%
240 2
0.3%
243 1
0.1%
244 1
0.1%
250 6
0.8%
255 1
0.1%
268 1
0.1%
278 5
0.7%
281 2
0.3%
290 1
0.1%
299 1
0.1%
300 19
2.6%
311 1
0.1%
320 1
0.1%
326 1
0.1%
327 3
0.4%
330 1
0.1%
332 1
0.1%
333 3
0.4%
335 1
0.1%
337 1
0.1%
339 1
0.1%
341 1
0.1%
343 1
0.1%
345 1
0.1%
348 1
0.1%
349 1
0.1%
350 4
0.5%
352 2
0.3%
353 4
0.5%
355 1
0.1%
361 1
0.1%
368 2
0.3%
369 2
0.3%
372 1
0.1%
373 4
0.5%
374 1
0.1%
391 1
0.1%
400 9
1.2%
440 1
0.1%
450 3
0.4%
456 1
0.1%
462 1
0.1%
469 1
0.1%
500 19
2.6%
503 1
0.1%
506 1
0.1%
541 1
0.1%
550 2
0.3%
555 3
0.4%
560 1
0.1%
600 8
1.1%
626 2
0.3%
666 1
0.1%
700 2
0.3%
731 2
0.3%
740 1
0.1%
750 2
0.3%
800 5
0.7%
833 2
0.3%
848 1
0.1%
860 1
0.1%
900 5
0.7%
910 1
0.1%
1000 19
2.6%
1050 1
0.1%
1080 1
0.1%
1100 1
0.1%
1125 1
0.1%
1169 1
0.1%
1200 7
0.9%
1249 1
0.1%
1388 2
0.3%
1400 2
0.3%
1444 2
0.3%
1489 1
0.1%
1491 1
0.1%
1500 7
0.9%
1580 1
0.1%
1600 1
0.1%
1650 1
0.1%
1700 2
0.3%
1708 1
0.1%
1711 2
0.3%
1732 1
0.1%
1800 1
0.1%
1813 1
0.1%
1878 1
0.1%
1943 1
0.1%
2000 11
1.5%
2082 1
0.1%
2100 2
0.3%
2123 1
0.1%
2263 1
0.1%
2300 2
0.3%
2500 2
0.3%
2535 1
0.1%
2629 1
0.1%
2776 1
0.1%
2784 1
0.1%
3000 8
1.1%
3009 1
0.1%
3331 1
0.1%
3500 1
0.1%
3963 1
0.1%
4000 3
0.4%
4500 1
0.1%
5000 4
0.5%
6000 2
0.3%
8000 1
0.1%
9000 1
0.1%
9500 1
0.1%
10000 4
0.5%
10594 1
0.1%
10800 1
0.1%
11000 1
0.1%
15000 1
0.1%
21709 1
0.1%
22500 1
0.1%
25792 1
0.1%
27354 1
0.1%
99200 1
0.1%
100000 1
0.1%
Sysmiss 2
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.
Back to Catalog