Multiple Indicator Cluster Survey 2016 (14 Provinces), Round 5
Thailand, 2016
Get MicrodataCreated on
Feb 08, 2022
Last modified
Feb 08, 2022
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31264
Province (HH7A)
Data file: MN.sav
Overview
var_valid:
14060
var_invalid:
0
var_minimum:
31
var_maximum:
96
Type:
Continuous
Decimal:
0
Width:
6
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 31 | Buriram | 733 |
5.2%
|
| 33 | Sisaket | 941 |
6.7%
|
| 35 | Yasothon | 915 |
6.5%
|
| 46 | Kalasin | 917 |
6.5%
|
| 48 | Nakhon Phanom | 932 |
6.6%
|
| 58 | Mae Hong Son | 880 |
6.3%
|
| 63 | Tak | 962 |
6.8%
|
| 70 | Ratchaburi | 1050 |
7.5%
|
| 71 | Kanchanaburi | 960 |
6.8%
|
| 90 | Songkhla | 1132 |
8.1%
|
| 91 | Satun | 1083 |
7.7%
|
| 94 | Pattani | 1068 |
7.6%
|
| 95 | Yala | 1177 |
8.4%
|
| 96 | Narathiwat | 1310 |
9.3%
|
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.