STEP Skills Measurement Household Survey 2013 (Wave 2)
Georgia, 2013
Get Microdata
Reference ID
GEO_2013_STEP-HH_v02_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Jun 30, 2014
Last modified
Apr 06, 2016
Page views
120194
Downloads
9483
Field or subject before dropping out (m2_q25)
Data file: STEP Georgia_working
Overview
Valid:
159
Invalid:
2837
Type:
Discrete
Decimal:
0
Start:
769
End:
770
Width:
2
Range:
-9 - 24
Format:
Numeric
Questions and instructions
Literal question
Module 2: Education
25) What was the reason/ reasons you dropped out?
25) What was the reason/ reasons you dropped out?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | break-off | 0 |
0%
|
| -7 | Legal skip | 0 |
0%
|
| -3 | interviewer error | 0 |
0%
|
| -1 | Don't know | 0 |
0%
|
| 1 | Education | 5 |
3.1%
|
| 2 | Humanities and arts | 22 |
13.8%
|
| 3 | Social and behavioral science (including economics) | 4 |
2.5%
|
| 4 | Journalism and information | 3 |
1.9%
|
| 5 | Business and administration (except secretarial and office work) including accounting, auditing | 15 |
9.4%
|
| 6 | Secretarial and office work | 0 |
0%
|
| 7 | Law and legal services | 18 |
11.3%
|
| 8 | Science (except computing) | 1 |
0.6%
|
| 9 | Computing/information technology | 7 |
4.4%
|
| 10 | Engineerng and engineering trades | 16 |
10.1%
|
| 11 | Manufacturing and processing | 3 |
1.9%
|
| 12 | Building trades and architecture | 3 |
1.9%
|
| 13 | Agriculture, forestry and fisheries | 5 |
3.1%
|
| 14 | Veterinary | 0 |
0%
|
| 15 | Health | 24 |
15.1%
|
| 16 | Social services | 0 |
0%
|
| 17 | Hotel and catering, travel and tourism, sports and leisure | 3 |
1.9%
|
| 18 | Hairdressing, beauty treatment, cosmetic services | 0 |
0%
|
| 19 | Cleaning, laundry, drycleaning, domestic science | 0 |
0%
|
| 20 | Transport services | 2 |
1.3%
|
| 21 | Environmental protection | 1 |
0.6%
|
| 22 | Security services | 0 |
0%
|
| 23 | General program or no specific fields | 5 |
3.1%
|
| 24 | Other | 22 |
13.8%
|
| Sysmiss | 2837 |
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.