National Household Survey 2002-2003
Uganda, 2002 - 2003
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
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- Data files
- socio_sec1
- socio_sec2
- socio_sec3a
- socio_sec3b
- socio_sec4
- socio_sec5
- socio_sec5a
- socio_sec5b
- socio_sec5c1
- socio_sec5c2
- socio_sec6
- socio_sec6a
- socio_sec6b
- socio_sec6c
- socio_sec6d
- socio_sec7
- socio_sec8
- socio_sec91
- socio_sec92
- socio_sec93
- socio_sec94
- socio_sec95
- multiplier
- labour_sec1
- labour_sec2
- labour_sec3a
- labour_sec3b
- labour_sec4
- labour_sec5
- labour_sec5a
- comm_sec1
- comm_sec2
- comm_sec3
- comm_sec4
- comm_sec5
- comm_sec6
- comm_sec7
- comm_sec8
- forestry_sec1
- forestry_sec2
- forestry_sec3
- forestry_sec4
- forestry_sec5a
- forestry_sec5b
- forestry_sec6
- forestry_sec7
- livestock_sec1
- livestock_sec2
- livestock_sec3
- livestock_sec4
- livestock_sec5a
- livestock_sec5b
- livestock_sec5c
- livestock_sec6
- livestock_sec6a
- trade_sec5a
- trade_sec1
- trade_sec2
- trade_sec3
- trade_sec4
- trade_sec5b
- trade_sec6
- trade_sec6b
- mining_sec1
- mining_sec2
- mining_sec3
- mining_sec4
- mining_sec5a
- mining_sec5b
- mining_sec6
- mining_sec6a
- hotels_sec1
- hotels_sec2
- hotels_sec3
- hotels_sec4
- hotels_sec5
- hotels_sec6
- hotels_sec7
- cpi
- findex03
- imputedrent
- pov0203
Item number (s4q1)
Data file: hotels_sec4
Overview
Valid:
2767
Invalid:
6
Minimum:
1
Maximum:
16
Type:
Continuous
Decimal:
0
Start:
13
End:
14
Width:
2
Range:
-
Format:
Questions and instructions
Literal question
Item number
Categories
| Value | Category |
|---|---|
| 1 | Foods and spices |
| 2 | Beverages - alcoholic and non-alcoholic |
| 3 | Tools |
| 4 | Spare parts, maintenance of machinery etc |
| 5 | Postage and telecommunications |
| 6 | Interest paid on loan |
| 7 | Water, electricity, fuel etc |
| 8 | Furnishings and other textile |
| 9 | Glassware, tableware and utensils |
| 10 | Transport, storage etc |
| 11 | Services rendered by others |
| 12 | Rent for buildings and machinery |
| 13 | Other rent |
| 14 | Others |
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.