The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / ENTERPRISE_SURVEYS / TZA_2006_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2006

Tanzania, 2006
Get Microdata
Reference ID
TZA_2006_ES_v01_M_WB
DOI
https://doi.org/10.48529/18d3-fq25
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Apr 21, 2011
Last modified
Sep 26, 2013
Page views
96151
Downloads
126125
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • Tanzania2006_manufacturing_clean
  • Tanzania2006_retail_and_it_clean
  • Tanzania2006_residual_clean

First: (c3a1)

Data file: Tanzania2006_manufacturing_clean

Overview

Valid: 273
Invalid: 0
Type: Discrete
Start: 210
End: 257
Width: 48
Range: -
Format: character

Questions and instructions

Literal question
In 2005, what were this establishment’s 2 main products represented by the largest proportion of annual sales?
Categories
Value Category Cases
716 eva slippers 1
0.4%
Beds 1
0.4%
Bread 2
0.7%
Bricks 1
0.4%
Bus Body Building 1
0.4%
Chairs 1
0.4%
Clothes 2
0.7%
Exercice Books 1
0.4%
Food 1
0.4%
Gypsum 1
0.4%
Household furnitures 1
0.4%
Ladies Clothes 1
0.4%
Lady dresses 1
0.4%
Office Furniture 1
0.4%
Oil 1
0.4%
PVC Pipes 1
0.4%
School Furniture 1
0.4%
Tea Leaves (producessed & Packed) 1
0.4%
White Bread 1
0.4%
White Breads 1
0.4%
Women and Childrens garments 1
0.4%
african clothes 1
0.4%
aluminium doors 1
0.4%
aluminium window frames 1
0.4%
animal feed 1
0.4%
animal food 1
0.4%
baked foods 1
0.4%
baked goods 1
0.4%
ball joints 1
0.4%
bed 1
0.4%
beds 4
1.5%
beer 2
0.7%
billboards 1
0.4%
body filler 1
0.4%
books printing 1
0.4%
bottled drinks 1
0.4%
bread 8
2.9%
breads 1
0.4%
bricks 1
0.4%
bricks (block) 1
0.4%
bublegum 1
0.4%
bus body building 1
0.4%
cake 1
0.4%
carton boxes 1
0.4%
carved doors 1
0.4%
carving wood products 1
0.4%
carvings 1
0.4%
carvings-masai 1
0.4%
ceramics 1
0.4%
chemical products 1
0.4%
chemicals 1
0.4%
chicken 1
0.4%
chicken feeds 1
0.4%
cleaning brushes 1
0.4%
clothes 11
4%
clothings 1
0.4%
clove steam oil 1
0.4%
commercial book 1
0.4%
concrete roof tiles 1
0.4%
cooking oil 1
0.4%
cooking pots (aluminium) 1
0.4%
cool blue pure drinking water 1
0.4%
corrugated boxes 1
0.4%
cupboards 2
0.7%
dairy products 2
0.7%
demosking rice 1
0.4%
domestic furniture 1
0.4%
domestic furnitures 1
0.4%
door 1
0.4%
door gates 1
0.4%
doors 1
0.4%
doors and windows 1
0.4%
dresses 1
0.4%
edible oil 1
0.4%
electric motors 1
0.4%
electrical material 1
0.4%
exercice books 1
0.4%
flour 5
1.8%
food 3
1.1%
fresh milk 2
0.7%
furniture 9
3.3%
furniture (metal) 1
0.4%
furniture manufacturing 1
0.4%
furniture, wood products 1
0.4%
furnitures 8
2.9%
galvanised iron sheets 1
0.4%
galvanised line hardwares for power distribution 1
0.4%
garments 8
2.9%
gents clothes 2
0.7%
gold 2
0.7%
grain 1
0.4%
gray fabric and bed sheet 1
0.4%
grills for windows 1
0.4%
hospital furniture 1
0.4%
hospital furnitures & equipment 1
0.4%
hotel furniture 1
0.4%
house furnishers 2
0.7%
household plastic appliances 1
0.4%
human and veterinary chemists 1
0.4%
iron sheets 2
0.7%
jassy(female pad) 1
0.4%
juice 2
0.7%
kilimanjaro tea bags 1
0.4%
labels 1
0.4%
ladies 1
0.4%
ladies clothes 1
0.4%
ladies wear 2
0.7%
laundry soap 1
0.4%
maintenance and repair of motor vehicle 1
0.4%
maize 1
0.4%
maize flour 3
1.1%
manufacturing of chemical products 1
0.4%
manufacturing of garments 1
0.4%
matress 1
0.4%
matresses 2
0.7%
meat 1
0.4%
medicines 1
0.4%
men garments 1
0.4%
men suites 1
0.4%
men's suits 1
0.4%
mens wear 2
0.7%
metal doors 1
0.4%
metal products 1
0.4%
metal tools 1
0.4%
metalwork 1
0.4%
milk 1
0.4%
mill flour 1
0.4%
mills 1
0.4%
mineral drinking water 1
0.4%
mosquito nets 1
0.4%
nails 1
0.4%
natural fruit drinks 1
0.4%
newspapers and press 1
0.4%
newspapers printing 1
0.4%
noodles 2
0.7%
paints 1
0.4%
parts and accessories for vehicules and engines 1
0.4%
pedd-regular supper 1
0.4%
pharmaceuticals 1
0.4%
piece of clothes 1
0.4%
plactic material 1
0.4%
plastic 1
0.4%
plastic pipes 1
0.4%
plastics pipe 1
0.4%
portland pozzolana cement 1
0.4%
pots 1
0.4%
pountry feeds 1
0.4%
pp liner 1
0.4%
pricetmo 1
0.4%
printing 3
1.1%
printing stationary 1
0.4%
processed cashewnuts products 1
0.4%
pvc conduct pipes 1
0.4%
radiators 1
0.4%
radio 1
0.4%
ready made clothing 1
0.4%
recycling of plastic materials 1
0.4%
reinforced Steel bars 1
0.4%
roofing tiles 1
0.4%
sewing garments 1
0.4%
side boards 1
0.4%
slippers 1
0.4%
soap 2
0.7%
sofa 1
0.4%
sofa seater 1
0.4%
sofa set 1
0.4%
sofa set, dinning set 1
0.4%
stamping 1
0.4%
standard cleaner 1
0.4%
stationaries 1
0.4%
steel and metal furniture 1
0.4%
steel bars 2
0.7%
sweaters 1
0.4%
tambi 1
0.4%
textiles(clothes) 1
0.4%
timber 1
0.4%
timber processing 1
0.4%
timber, furniture 1
0.4%
tomato sauce 3
1.1%
toys 1
0.4%
trailers 1
0.4%
transformer 1
0.4%
uniform 1
0.4%
wheat flour 4
1.5%
window grills door and frames 1
0.4%
windows 1
0.4%
women dresses 2
0.7%
women wear 1
0.4%
women's dresses 1
0.4%
womens clothing 1
0.4%
wood 4
1.5%
wood furniture 1
0.4%
wood layers 1
0.4%
wooden furniture 1
0.4%
yogourt 1
0.4%
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.
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.