STEPwise Approach to Non-Communicable Diseases Risk Factor Surveillance 2019
Bhutan, 2019
Get Microdata
Reference ID
BTN_2019_STEPS_v01_M
Producer(s)
Ministry of Health
Metadata
Created on
Nov 06, 2023
Last modified
Nov 06, 2023
Page views
11445
Downloads
361
- Data files
- btn2019
Other reason never had screening (cx11spec)
Data file: btn2019
Overview
Valid:
369
Invalid:
0
Type:
Discrete
Width:
91
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 8 |
2.2%
|
|
| 00 | 1 |
0.3%
|
|
| 1 | 9 |
2.4%
|
|
| 17 years | 1 |
0.3%
|
|
| 18 years only | 1 |
0.3%
|
|
| 2 | 7 |
1.9%
|
|
| 21 years | 2 |
0.5%
|
|
| 21 years only | 1 |
0.3%
|
|
| 22 years | 1 |
0.3%
|
|
| 23 years | 2 |
0.5%
|
|
| 25 | 1 |
0.3%
|
|
| 3 | 3 |
0.8%
|
|
| 4 | 4 |
1.1%
|
|
| 5 | 1 |
0.3%
|
|
| 6 | 1 |
0.3%
|
|
| 77 | 10 |
2.7%
|
|
| 7777 | 8 |
2.2%
|
|
| 77777 | 1 |
0.3%
|
|
| 78888 | 1 |
0.3%
|
|
| 99 | 7 |
1.9%
|
|
| 9999 | 1 |
0.3%
|
|
| Age 20 years only | 1 |
0.3%
|
|
| Age Less than 25 | 1 |
0.3%
|
|
| Age below 25 | 14 |
3.8%
|
|
| Age below 25 years | 2 |
0.5%
|
|
| Age is below 25 | 1 |
0.3%
|
|
| Age is below the 25 | 1 |
0.3%
|
|
| Age is less than 25 | 3 |
0.8%
|
|
| Age is less then 25 | 1 |
0.3%
|
|
| Age less than 25 yrs | 1 |
0.3%
|
|
| Age less than 25 | 11 |
3%
|
|
| Age less than 25 years | 3 |
0.8%
|
|
| Age less then 25 | 3 |
0.8%
|
|
| Age less then 25 years | 1 |
0.3%
|
|
| Age limit | 1 |
0.3%
|
|
| Age running 25 years | 1 |
0.3%
|
|
| Been sexually inactive so far | 1 |
0.3%
|
|
| Below age | 1 |
0.3%
|
|
| Bishnu Maya Dargee | 1 |
0.3%
|
|
| Bishnu maya | 1 |
0.3%
|
|
| CHIMI | 1 |
0.3%
|
|
| CHIMI dema | 1 |
0.3%
|
|
| Chador | 1 |
0.3%
|
|
| Chencho wangmo | 1 |
0.3%
|
|
| Chimi Dem | 1 |
0.3%
|
|
| Chimi Wangmo | 1 |
0.3%
|
|
| Choki | 1 |
0.3%
|
|
| Choki(mother) | 1 |
0.3%
|
|
| DEKI MOTHER | 1 |
0.3%
|
|
| DENISHA ALLEY | 1 |
0.3%
|
|
| DOB 16/7/1994..she will be 25yrs on July 16 this year ..advice to go at the age of 25yrs. | 1 |
0.3%
|
|
| DOB 1995 | 1 |
0.3%
|
|
| DORJI OM | 1 |
0.3%
|
|
| Damcho Dem | 1 |
0.3%
|
|
| Dargo lhamo | 1 |
0.3%
|
|
| Dawa Dema DOB 1995 | 1 |
0.3%
|
|
| Dechen pem | 1 |
0.3%
|
|
| Dema (sister) | 1 |
0.3%
|
|
| Don't know | 1 |
0.3%
|
|
| Dorji Wangmo | 1 |
0.3%
|
|
| Dorji lhamo | 1 |
0.3%
|
|
| Friends | 1 |
0.3%
|
|
| Gangi maya yonzen | 1 |
0.3%
|
|
| Gyem lham | 1 |
0.3%
|
|
| HARKA MAYA CHETRI | 1 |
0.3%
|
|
| Harimya pradhan | 1 |
0.3%
|
|
| Hpv vaccine recieved....so health worker told her its not necessary to do pepsmer for 3 yrs | 1 |
0.3%
|
|
| JIGME CHODEN | 1 |
0.3%
|
|
| Jamyang Chedon DOB 1998 | 1 |
0.3%
|
|
| Jit Maya rai | 1 |
0.3%
|
|
| Kakam | 1 |
0.3%
|
|
| Karma | 2 |
0.5%
|
|
| Karma Dechen | 1 |
0.3%
|
|
| Karma Dema | 1 |
0.3%
|
|
| Karma choden | 1 |
0.3%
|
|
| Karna bdr | 1 |
0.3%
|
|
| Kezang Tshomo | 1 |
0.3%
|
|
| Khandu wangmo under age | 1 |
0.3%
|
|
| Khena maya powdyel | 1 |
0.3%
|
|
| Kinley | 2 |
0.5%
|
|
| Kinley Yangden | 1 |
0.3%
|
|
| Kinzang Choden | 1 |
0.3%
|
|
| Kuenzang Dema | 1 |
0.3%
|
|
| Kumbu Dema | 1 |
0.3%
|
|
| Kunzang pem (sister) | 1 |
0.3%
|
|
| Less than 25 yr | 1 |
0.3%
|
|
| Less than 25 years | 1 |
0.3%
|
|
| Less than 25 | 1 |
0.3%
|
|
| Less than 25 age | 1 |
0.3%
|
|
| Less than 25 years | 2 |
0.5%
|
|
| Maya Devi Ghalley | 1 |
0.3%
|
|
| Meena Pradhan | 1 |
0.3%
|
|
| Monjure Rai | 1 |
0.3%
|
|
| Mother | 6 |
1.6%
|
|
| NA | 5 |
1.4%
|
|
| Na | 8 |
2.2%
|
|
| Narmaya mongar | 1 |
0.3%
|
|
| Nidup pelmo | 1 |
0.3%
|
|
| None | 2 |
0.5%
|
|
| Norbu lhamo | 1 |
0.3%
|
|
| Not aged | 1 |
0.3%
|
|
| O | 3 |
0.8%
|
|
| One son | 1 |
0.3%
|
|
| Only 19 years | 1 |
0.3%
|
|
| Only 20 years | 1 |
0.3%
|
|
| Only 21 year | 1 |
0.3%
|
|
| Only 24 years | 1 |
0.3%
|
|
| Only 25 | 1 |
0.3%
|
|
| Only a 18 years | 1 |
0.3%
|
|
| Oo | 1 |
0.3%
|
|
| PASANG OM | 1 |
0.3%
|
|
| PASANG WANGMO | 1 |
0.3%
|
|
| PEM ZAM | 1 |
0.3%
|
|
| PEMA LHAM | 1 |
0.3%
|
|
| Pema Choden DOB 1996 | 1 |
0.3%
|
|
| Pema choden (mother) | 1 |
0.3%
|
|
| Pema dechen | 1 |
0.3%
|
|
| Phub Dem | 1 |
0.3%
|
|
| Phub Zam | 1 |
0.3%
|
|
| Phul mati gurung grand mother | 1 |
0.3%
|
|
| Ram Chandra Gurung | 1 |
0.3%
|
|
| Ran Maya Darnal | 1 |
0.3%
|
|
| Samten Lepcha | 1 |
0.3%
|
|
| San maaya tamang | 1 |
0.3%
|
|
| Sangay | 1 |
0.3%
|
|
| Sangay Chedon DOB 1997 | 1 |
0.3%
|
|
| Sangay Wangmo | 1 |
0.3%
|
|
| Sangay tshering (husband) | 1 |
0.3%
|
|
| She is not eligible for cervical checkup | 1 |
0.3%
|
|
| She is not eligible for papsmear test | 1 |
0.3%
|
|
| She is student | 1 |
0.3%
|
|
| Sherab choden (aunt) | 1 |
0.3%
|
|
| Single | 1 |
0.3%
|
|
| Sister | 1 |
0.3%
|
|
| Sonam Ch0ki | 1 |
0.3%
|
|
| Sonam Tshering | 1 |
0.3%
|
|
| Sonam choden dorji | 1 |
0.3%
|
|
| Sonam lhamo | 1 |
0.3%
|
|
| Sonam tshomo | 1 |
0.3%
|
|
| Student | 1 |
0.3%
|
|
| Tandin | 1 |
0.3%
|
|
| Tandin Dem | 1 |
0.3%
|
|
| Tannin wangmo | 1 |
0.3%
|
|
| Tashi | 1 |
0.3%
|
|
| Tashi Choden DOB 1994 | 1 |
0.3%
|
|
| Tashi Dem (sister) | 1 |
0.3%
|
|
| Tashi wangmo | 1 |
0.3%
|
|
| Tenzin Choki | 1 |
0.3%
|
|
| Tenzin wangmo | 1 |
0.3%
|
|
| Thinley chenzom | 1 |
0.3%
|
|
| Thinley choden | 1 |
0.3%
|
|
| Thinley wqngchuk | 1 |
0.3%
|
|
| Tota Maya Acharja | 1 |
0.3%
|
|
| Tshering Gyem | 1 |
0.3%
|
|
| Tshering Wangmo | 1 |
0.3%
|
|
| Tshering Yuden | 1 |
0.3%
|
|
| Tshering lhaden | 1 |
0.3%
|
|
| Tshering lhamo | 1 |
0.3%
|
|
| Tshewang Zangmo | 1 |
0.3%
|
|
| Tshoki | 1 |
0.3%
|
|
| Tula Ram | 1 |
0.3%
|
|
| Ugyen Dema DOB 14/2/1994 | 1 |
0.3%
|
|
| Ugyen Lhamo Dob 1995 | 1 |
0.3%
|
|
| Uma Wati | 1 |
0.3%
|
|
| Under age | 7 |
1.9%
|
|
| Under age | 5 |
1.4%
|
|
| Under age 25 | 1 |
0.3%
|
|
| Under age for test | 1 |
0.3%
|
|
| Unmarried | 2 |
0.5%
|
|
| Unmarried so didn't feel the need to do it | 1 |
0.3%
|
|
| WANGMO | 1 |
0.3%
|
|
| X | 49 |
13.3%
|
|
| XX | 7 |
1.9%
|
|
| XXX | 5 |
1.4%
|
|
| XXXx | 2 |
0.5%
|
|
| Xx | 7 |
1.9%
|
|
| Xxx | 10 |
2.7%
|
|
| Xxxx | 1 |
0.3%
|
|
| Yangchen | 1 |
0.3%
|
|
| Yes | 1 |
0.3%
|
|
| kuenga zangmo (sister) | 1 |
0.3%
|
|
| pema choden | 1 |
0.3%
|
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.