Mongolia - MICS 2012 (Nalaikh District)
| Reference ID | DDI-MNG-NSO-EN-MICS-2012-NA-v1.0 |
| Year | 2012 |
| Country | Mongolia |
| Producer(s) | National Statistical Office - SGH |
| Sponsor(s) | United Nations Children's Fund - UNICEF - Funding of survey implementation United Nations Population Fund - UNFPA - Funding of survey implementation |
| Collection(s) | |
| Metadata | Download DDI Download RDF |
| Created on | Dec 15, 2017 |
| Last modified | Dec 15, 2017 |
| Page views | 585184 |
| Downloads | 6690 |
Variable Groups
- Interview of Household identification
- Water and Sanitation
- Household characteristics
- Education
- Child Labour
- Child Displine
- Hand Washing
- Information Panel
- Background
- Access to mass media and use of information communication technology
- Reproduction
- Contraception
- Marriage/Union
- Fertility Preference
- Gender Equity
- Sexual Behaviour
- HIV/ AIDS
- Tobacco and Alcohol Use
- Life Satisfaction
- Child Mortality
- Desire for Last birth
- Material and New Born Health
- Illness Symptoms
- Unmet Need
- Attitudes Towards Domestic Violence
- Age
- Birth Registration
- Early Childhood Development
- Breastfeeding
- Care of Illness
- Immunization
- Anthropometry
- Child Injury
- Child Disability
Data Dictionary
Data File: wm
| Content | An information for individual women administered in each household to all women age 15-49 years |
| Cases | 929 |
| Variable(s) | 348 |
| Version | Dataset version 1.0 |
| Producer | Dataset produced by the National Statistical Office |
| Missing Data | Various codes are used to describe missing data and special values. The general strategy is as follows: Any question that is skipped due to the flow of the questionnaire (not applicable) is coded as a blank in the dataset. Any question that should have been answered according to the flow of the questionnaire, but no response was recorded on the questionnaire (missing) is coded with a field full of 9s for a numeric field, or with a field full of question marks for an alphabetic field. Other special codes are used in a standard manner throughout the file. The codes used are recorded with a field full of 9s, but with the final digit being one of the following below: Don't know 8 Inconsistent 7 Other 6 For example, if the month of birth was unknown, as the field requires two digits, the value would be 98. For alphabetic fields, the following codes were used: Don't know Z None/no one Y Other X In summary 1 digit 2 digits 3 digits 4 digits Alpha fields Not applicable b b b b b Missing 9 99 999 9999 ? Don't know 8 98 998 9998 Z Inconsistent 7 97 997 9997 None/no one 0 00 000 0000 Y Other 6 96 996 9996 X Special responses 95,94... 995,994... 9995,9994... W where b indicates a blank space. Fields requiring more than 5 values (excluding special values above) and less than 96 values are given at two digits with leading zeros for codes below 10. All fields requiring more than 95 values and less than 995 values are given 3 digits with leading zeros for codes below 100. |
Variables
| Name | Label | Question | |
| TA13_B | Snuff | WHAT TYPES OF SMOKELESS TOBACCO PRODUCTS DID YOU USE? ANY OTHER TYPES OF SMOKELESS TOBACCO PRODUCTS? | |
| TA13_X | Other | WHAT TYPES OF SMOKELESS TOBACCO PRODUCTS DID YOU USE? ANY OTHER TYPES OF SMOKELESS TOBACCO PRODUCTS? | |
| TA14 | Have you ever drunk alcohol | HAVE YOU EVER DRUNK ALCOHOL? | |
| TA15 | How old were you when you had your first drink of alcohol | HOW OLD WERE YOU WHEN YOU HAD YOUR FIRST DRINK OF ALCOHOL? | |
| TA16 | During the last one month, how many days did you drink alcoh | DURING THE LAST ONE MONTH, HOW MANY DAYS DID YOU DRINK ALCOHOL? | |
| LS2 | How satisfied are you with your marriage | HOW SATISFIED ARE YOU WITH YOUR MARRIAGE? | |
| LS3 | How satisfied are you with your friendships | HOW SATISFIED ARE YOU WITH YOUR FRIENDSHIPS? | |
| LS4 | How satisfied are you with your school | HOW SATISFIED ARE YOU WITH YOUR SCHOOL? | |
| LS5 | How satisfied are you with your current job | HOW SATISFIED ARE YOU WITH YOUR CURRENT JOB? | |
| LS6 | How satisfied are you with yourself | HOW SATISFIED ARE YOU WITH YOURSELF? | |
| LS7 | How satisfied are you with where you live | HOW SATISFIED ARE YOU WITH WHERE YOU LIVE? | |
| LS8 | How satisfied are you with your life, overall | HOW SATISFIED ARE YOU WITH YOUR LIFE, OVERALL? | |
| LS9 | How satisfied are you with your current income | HOW SATISFIED ARE YOU WITH YOUR CURRENT INCOME? | |
| LS10 | Taking all things together, would you say you are very or so | TAKING ALL THINGS TOGETHER, WOULD YOU SAY YOU ARE VERY OR SOMEWHAT HAPPY, NEITHER HAPPY NOR UNHAPPY, OR SOMEWHAT OR VERY UNHAPPY? | |
| LS11 | Compared to this time last year, would you say that your lif | COMPARED TO THIS TIME LAST YEAR, WOULD YOU SAY THAT YOUR LIFE HAS IMPROVED OR WORSENED, OVERALL? | |
| LS12 | Do you expect that your life will be better or worse in one | DO YOU EXPECT THAT YOUR LIFE WILL BE BETTER OR WORSE IN ONE YEAR FROM NOW, OVERALL? | |
| HH6 | Location | ||
| HH7A | Aimag/ city code | ||
| HH7B | Soum/ district code | ||
| HH7C | Bag/ khoroo code | ||
| HH7D | Kheseg code | ||
| WDOI | Date of interview (CMC) | ||
| WDOB | Date of birth (CMC) | ||
| WAGE | Age | ||
| WDOM | Date of first marriage/ union (CMC) | ||
| WAGEM | Age at first marriage/ union | ||
| WDOBFC | Date of birth of first child (CMC) | ||
| WDOBLC | Date of birth of last child (CMC) | ||
| MSTATUS | Marital/ union status | ||
| CEB | Children ever born | ||
| CSURV | Children surviving | ||
| CDEAD | Children dead | ||
| welevel | Education | ||
| welevel5 | Education | ||
| welevel3 | Education | ||
| welevel2 | Education | ||
| HH11 | Total number of household members | ||
| HHSEX | Sex of household head | ||
| religion | Religion of household head | ||
| religion2 | Religion of household head | ||
| religion3 | Religion of household head | ||
| ethnicity | Ethnicity of household head | ||
| ethnicity2 | Ethnicity of household head | ||
| windex2 | Wealth index | ||
| MSTATUS3 | Marital/ Union status | ||
| wmweight | Women's sample weight | ||
| wscore | Wealth index score | ||
| windex5 | Wealth index quintiles | ||
Total variable(s):
348 |