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    Home / Central Data Catalog / LSMS / UGA_2015_UNPS_V02_M / variable [F97]
lsms

National Panel Survey 2015-2016

Uganda, 2015 - 2016
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Reference ID
UGA_2015_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 31, 2019
Last modified
Feb 25, 2025
Page views
253346
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  • AGSEC1
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  • unps_geovars_2015_16

(itmcd)

Data file: gsec15c

Overview

Valid: 35702
Invalid: 0
Minimum: 301
Maximum: 605
Type: Discrete
Decimal: 0
Width: 8
Range: 301 - 605
Format: Numeric

Questions and instructions

Categories
Value Category Cases
301 Rent of rented house 431
1.2%
302 Imputed rent of owned house 2677
7.5%
303 Imputed rent of free house 200
0.6%
304 Maintenance and repair expenses 227
0.6%
305 Water 3295
9.2%
306 Electricity 469
1.3%
307 Generators/lawn mower fuels 8
0%
308 Paraffin (Kerosene) 1899
5.3%
309 Charcoal 896
2.5%
310 Firewood 2602
7.3%
311 Others 80
0.2%
451 Matches 3038
8.5%
452 Washing soap 3295
9.2%
453 Bathing soap 604
1.7%
454 Tooth paste 1769
5%
455 Cosmetics 2490
7%
456 Handbags, travel bags etc 99
0.3%
457 Batteries (Dry cells) 1727
4.8%
458 Newspapers and Magazines 92
0.3%
459 Others 1
0%
460 Diapers 94
0.3%
461 Tires, tubes, spares, etc 345
1%
462 Petrol, diesel etc 221
0.6%
463 Taxi fares 789
2.2%
464 Bus fares 76
0.2%
465 Bodaboda fares 1226
3.4%
466 Stamps, envelops, etc. 5
0%
467 Air time & services fee for owned fixed/ mobile phones 2305
6.5%
468 Expenditure on phones not owned 108
0.3%
469 Others 8
0%
470 Sanitary Towels 546
1.5%
482 358
1%
501 Consultation Fees 47
0.1%
502 Medicines etc 1400
3.9%
503 Hospital/ clinic charges 382
1.1%
504 Traditional Doctors fees/ medicines 34
0.1%
505 Others 16
0%
601 Sports, theaters, etc 137
0.4%
602 Dry Cleaning and Laundry 18
0.1%
603 Houseboys/ girls, Shamba boys etc 91
0.3%
604 Barber and Beauty Shops 1587
4.4%
605 Expenses in hotels, lodging, etc 10
0%
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.
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