Social Assistance Grants for Empowerment Programme 2013, Evaluation Follow-Up Survey
Uganda, 2013
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Reference ID
UGA_2013_SAGE-ML_v01_M
Producer(s)
Oxford Policy Management Ltd.
Metadata
Created on
Jul 21, 2016
Last modified
Jul 21, 2016
Page views
282964
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- Data files
- SAGE_HHWEIGHTSV2
- districts_SCG
- districts_VFSG
- districts2010_SCG
- districts2010_VFSG
- int_community
- int_facilities1
- int_facilities2
- int_markets1
- int_markets2
- int_markets3
- int_tracking
- int_treatment_status
- sage_comids
- sage_fcsexpanded
- sage_foodsecintermed
- sage_labourintermed
- int_operational
- int_welfare_hhassets_productive
- int_welfare_hhlivestock
- int_welfare_memdata
- int_welfare_hh
- int_cohesion_dec1
- int_cohesion_dec2
- int_cohesion_dec3
- int_cohesion_empow
- int_consexp
- int_demographics_hh
- int_demographics_mem
- int_migration
- int_migration_HH
- int_asset_index
- int_cohesion
- int_access_health
- int_access_health_hh
- int_access_school
- int_access_educ18plus
- int_access_fin
- sage_anthrointermed
- int_ben_characteristics
HH4Q13: What was the nature of [name]?s subsidiary occupation during the last 7 (hh4_q13)
Data file: int_welfare_memdata
Overview
Valid:
3602
Invalid:
18071
Minimum:
1
Maximum:
93
Type:
Discrete
Decimal:
0
Start:
137
End:
138
Width:
2
Range:
1 - 93
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Armed forces | 8 |
0.2%
|
| 3 | 1 |
0%
|
|
| 4 | 12 |
0.3%
|
|
| 11 | Legislators and senior officials | 1 |
0%
|
| 12 | Corporate managers | 0 |
0%
|
| 13 | General managers | 0 |
0%
|
| 21 | Physical, mathematical and engineering science professionals | 0 |
0%
|
| 22 | Life science and health professionals | 0 |
0%
|
| 23 | Teaching professionals | 2 |
0.1%
|
| 24 | Other professionals | 1 |
0%
|
| 31 | Physical and engineering science associate professionals | 0 |
0%
|
| 32 | Life science and health associate professionals | 0 |
0%
|
| 33 | Teaching associate professionals | 9 |
0.2%
|
| 34 | Other associate professionals | 4 |
0.1%
|
| 41 | Office clerks | 8 |
0.2%
|
| 42 | Customer service clerks | 2 |
0.1%
|
| 51 | Personal and protective service workers | 23 |
0.6%
|
| 52 | Models, sales persons and demonstrators | 94 |
2.6%
|
| 61 | Market oriented skilled agricultural and fishery workers | 31 |
0.9%
|
| 62 | Subsistence agricultural and fishery workers | 1608 |
44.6%
|
| 71 | Extraction and building trade workers | 7 |
0.2%
|
| 72 | Metal, machinery and related trades workers | 2 |
0.1%
|
| 73 | Precision, handicraft, printing and related trades workers | 18 |
0.5%
|
| 74 | Other craft and related trades workers | 9 |
0.2%
|
| 81 | Stationary plant and related operators | 0 |
0%
|
| 82 | Machine operators and assemblers | 4 |
0.1%
|
| 83 | Drivers and mobile plant operators | 3 |
0.1%
|
| 91 | Sales and services elementary occupations | 516 |
14.3%
|
| 92 | Agricultural, fishery and related labourers | 1199 |
33.3%
|
| 93 | Labourers in mining, construction, manufacturing and transport | 40 |
1.1%
|
| Sysmiss | 18071 |
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.
Others
Notes
HH4Q13: What was the nature of [name]?s subsidiary occupation during the last 7 days?