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    Home / Central Data Catalog / TZA_2017_HBS_V01_M / variable [F26]
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Household Budget Survey 2017-2018

Tanzania, 2017 - 2018
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Reference ID
TZA_2017_HBS_v01_M
Producer(s)
National Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Mar 04, 2022
Last modified
May 15, 2022
Page views
1148258
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • HBS 2017-18
    _Final_Individual_Data
  • HBS 2017-18
    _Final_Poverty+Individual_Data
  • HBS_2017-18
    Consumption
    Aggregate and
    Poverty
    Analysis
    Variables
  • S10A1
  • S10B1
  • S10C1
  • S10D1
  • S10E1
  • S10F1
  • S10G1
  • S11A1
  • S12B1
  • S12C1
  • S12D_11
  • S12D_21
  • S12D_31
  • S12E1
  • S12F1
  • S12G_11
  • S12G_21
  • S13A1
  • S13B1
  • S14A1
  • S14B1
  • S14C1
  • S15A1
  • S15B1
  • S15C1
  • S15D1
  • S16A1
  • S16B1
  • S17A1
  • S17B1
  • S17Bo1
  • S17C1
  • S17D1
  • S17E1
  • S18A1
  • S18B1
  • S19A1
  • S19B1
  • S19C1
  • S19D1
  • S19E1
  • S20A1
  • S20B1
  • S20C1
  • S20D1
  • S20E1
  • S20F1
  • S20G1
  • S21A1
  • S21B1
  • S21C1
  • S21D1
  • S22A1
  • S22B1
  • S23_1
  • S24A1
  • S24B1
  • S25A1
  • S25B1
  • S26FoodConsumed1

Roster instance identifier (S15A__id)

Data file: S15A1

Overview

Valid: 58573
Invalid: 0
Type: Discrete
Decimal: 0
Start: 97
End: 102
Width: 6
Range: 311101 - 321305
Format: Numeric

Questions and instructions

Literal question
Which of the following goods did your household buy new (in cash, by down-payment or on credit) for yourself or as a gift, in the last 12 months? IF NONE ENTER 0 AND LEAVE AMOUNT BLANK
- COICOP
Categories
Value Category Cases
311101 Material/Fabric for clothing 868
1.5%
312101 Men's overcoat (coat, jacket, raincoat) 653
1.1%
312102 Men's suit and jacket 403
0.7%
312103 Men's trousers (including blue jeans) 2894
4.9%
312104 Men's shirts, T-shirts, blouses, sweaters, jerseys 3036
5.2%
312105 Men's underwear 2700
4.6%
312106 Msuli/Kikoi, kanzu nk 914
1.6%
312107 Men's sports garments 376
0.6%
312201 Women's overcoat (coat, jacket, raincoat) 337
0.6%
312202 Women's dresses eg. Gown, baibui nk 2488
4.2%
312203 Women's trousers and skirts 1000
1.7%
312204 Women's shirts, blouses, sweaters, jerseys and dresses 1803
3.1%
312205 Women's underwear, bathrobe and pyjamas 3116
5.3%
312206 Kanga 3500
6%
312207 Kitenge 4350
7.4%
312208 Women's sports garments 101
0.2%
312301 Children's overcoat (coat, jacket, raincoat) and suit 495
0.8%
312302 Children's trousers, dresses 2326
4%
312303 Children's shirt, T-shirt, blouses, sweaters, jerseys 2078
3.5%
312304 Children's pyjamas, pants, boxers or socks 1228
2.1%
312305 Children's school uniform 3620
6.2%
312306 Children's sports garments 214
0.4%
312307 Babies (up to 2 years) garments (nappies, pampers) 986
1.7%
313105 Other clothing accessories (caps, hats, turbans etc.) 617
1.1%
321101 Footwear for men (all excluding sports footwear) 1503
2.6%
321102 Men's sports footwear 256
0.4%
321103 Slippers for men 3330
5.7%
321201 Footwear for women (all excluding sports footwear) 2035
3.5%
321202 Women's sports footwear 132
0.2%
321203 Slippers for women 4057
6.9%
321301 Children's shoes (all footwear excluding sports footwear) 1233
2.1%
321302 Children's shoes for school 2552
4.4%
321303 Children's sports shoes 122
0.2%
321304 Babies(up to 2yrs) shoes (excluding shoes made of fabric) 396
0.7%
321305 Slippers for children 2854
4.9%
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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