Impact Evaluation of the Improvement of Land Governance to Increase Productivity of Small-Scale Farmers on Mailo-Land 2017
Uganda, 2017 - 2018
Get MicrodataCreated on
Mar 22, 2021
Last modified
Mar 22, 2021
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47133
- Data files
- ASEC1.dta
- ASEC2A.dta
- ASEC2B.dta
- ASEC3A.dta
- ASEC3A_33.dta
- ASEC3A_33_a.dta
- ASEC3B.dta
- ASEC4A.dta
- ASEC4A_1.dta
- ASEC5A.dta
- ASEC5A_1.dta
- ASEC5B.dta
- ASEC6A.dta
- ASEC6B.dta
- ASEC6C.dta
- ASEC7A.dta
- ASEC7B.dta
- ASEC8.dta
- ASEC9.dta
- ASEC9_Ext.dta
- ASEC10.dta
- ASEC11.dta
- GSEC1.dta
- GSEC2.dta
- GSEC3.dta
- GSEC4.dta
- GSEC5.dta
- GSEC6.dta
- GSEC7a.dta
- GSEC7b.dta
- GSEC8.dta
- GSEC9a.dta
- GSEC9b.dta
- GSEC10.dta
- GSEC11.dta
- GSEC12.dta
- GSEC13a.dta
- GSEC13b.dta
- GSEC13c.dta
- GSEC13d.dta
- GSEC13e_Male.dta
- GSEC13f_female.dta
- GSEC14.dta
SubCategory Level1 - ISCO code (B15_twoDigit)
Data file: GSEC4.dta
Overview
Valid:
13
Invalid:
8142
Minimum:
12
Maximum:
93
Type:
Discrete
Decimal:
0
Start:
544
End:
546
Width:
3
Range:
12 - 93
Format:
Numeric
Questions and instructions
Question pretext
Using this information, code the activity using the main category and subcategory levels1 to level3 ISCO codes that foloow
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Chief executives, senior officials and legislators | 0 |
0%
|
| 12 | Administrative and commercial managers | 1 |
7.7%
|
| 13 | Production and specialized services managers | 0 |
0%
|
| 14 | Hospitality, retail and other services managers | 0 |
0%
|
| 21 | Science and engineering professionals | 0 |
0%
|
| 22 | Health professionals | 0 |
0%
|
| 23 | Teaching professionals | 1 |
7.7%
|
| 24 | Business and administration professionals | 0 |
0%
|
| 25 | Information and communications technology professionals | 0 |
0%
|
| 26 | Legal, social and cultural professionals | 0 |
0%
|
| 31 | Science and engineering associate professionals | 0 |
0%
|
| 32 | Health associate professionals | 0 |
0%
|
| 33 | Business and administration associate professionals | 0 |
0%
|
| 34 | Legal, social, cultural and related associate professionals | 0 |
0%
|
| 35 | Information and communications technicians | 0 |
0%
|
| 41 | General and keyboard clerks | 0 |
0%
|
| 42 | Customer services clerks | 0 |
0%
|
| 43 | Numerical and material recording clerks | 0 |
0%
|
| 44 | Other clerical support workers | 0 |
0%
|
| 51 | Personal service workers | 1 |
7.7%
|
| 52 | Sales workers | 0 |
0%
|
| 53 | Personal care workers | 0 |
0%
|
| 54 | Protective services workers | 0 |
0%
|
| 61 | Market-oriented skilled agricultural workers | 1 |
7.7%
|
| 62 | Market-oriented skilled forestry, fishery and hunting workers | 0 |
0%
|
| 63 | Subsistence farmers, fishers, hunters and gatherers | 0 |
0%
|
| 71 | Building and related trades workers, excluding electricians | 0 |
0%
|
| 72 | Metal, machinery and related trades workers | 1 |
7.7%
|
| 73 | Handicraft and printing workers | 0 |
0%
|
| 74 | Electrical and electronic trades workers | 0 |
0%
|
| 75 | Food processing, wood working, garment and other craft and related trades workers | 0 |
0%
|
| 81 | Stationary plant and machine operators | 0 |
0%
|
| 82 | Assemblers | 0 |
0%
|
| 83 | Drivers and mobile plant operators | 0 |
0%
|
| 91 | Cleaners and helpers | 1 |
7.7%
|
| 92 | Agricultural, forestry and fishery labourers | 5 |
38.5%
|
| 93 | Labourers in mining, construction, manufacturing and transport | 2 |
15.4%
|
| 94 | Food preparation assistants | 0 |
0%
|
| 95 | Street and related sales and service workers | 0 |
0%
|
| 96 | Refuse workers and other elementary workers | 0 |
0%
|
| 991 | Commissioned armed forces officers | 0 |
0%
|
| 992 | Non-commissioned armed forces officers | 0 |
0%
|
| 993 | Armed forces occupations, other ranks | 0 |
0%
|
| Sysmiss | 8142 |
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.