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    Home / Central Data Catalog / ENTERPRISE_SURVEYS / BGD_2007_ES_V01_M_WB / variable [F1]
enterprise_surveys

Enterprise Survey 2007

Bangladesh, 2007
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Reference ID
BGD_2007_ES_v01_M_WB
DOI
https://doi.org/10.48529/dh3m-tv35
Producer(s)
World Bank
Collection(s)
Enterprise Surveys
Metadata
DDI/XML JSON
Created on
Mar 24, 2011
Last modified
Sep 26, 2013
Page views
77671
Downloads
1638
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  • Bangladesh-2007--full
    data-1

(d121a1x)

Data file: Bangladesh-2007--full data-1

Overview

Valid: 1504
Invalid: 0
Type: Discrete
Start: 441
End: 480
Width: 40
Range: -
Format: character

Questions and instructions

Question pretext
IF 999, ENTER DESCRIPTION
Literal question
In fiscal year 2005/6, what were this establishment's two most important material inputs and/or supplies purchased this year by the largest proportion of purchases?
Description (First)
Categories
Value Category Cases
-7 1325
88.1%
53 1
0.1%
A.P.I 1
0.1%
ADJUVENT & INERT 1
0.1%
ALUMINIUM SHEET 1
0.1%
Aciclouofi og 1
0.1%
Acrylic Yarn 1
0.1%
Acrylic yarn 1
0.1%
Alloy casting 1
0.1%
Aluminum Scrap 1
0.1%
Antihistamine 1
0.1%
BITUMEN CRUDE 1
0.1%
Bocolite powder 1
0.1%
Brass & Aluminium 1
0.1%
Broken glass 1
0.1%
Butyle acrylite 1
0.1%
C R COIL 1
0.1%
C.I SHEET 1
0.1%
CARBON STEEL 1
0.1%
CHALK POWDER RESING 1
0.1%
CHEMICAL 1
0.1%
CHLORINE 1
0.1%
COIL ROAD 1
0.1%
CRUDE OIL 1
0.1%
CRUDE SALT 1
0.1%
CUDE SALT 1
0.1%
Cast iron 1
0.1%
Chemical 1
0.1%
Choclet Coating 1
0.1%
Circuit breaker 1
0.1%
Clarithrumycin 1
0.1%
Concord 1
0.1%
Core sheet 1
0.1%
Crude Salt 1
0.1%
Cut iron 1
0.1%
DENIM CLOTH 1
0.1%
DRY CHILLI 1
0.1%
Daifull, Gur 1
0.1%
Day old chicks 1
0.1%
Dextrol 1
0.1%
EMBLICA OFFICINCLIS 1
0.1%
FLEECE FABRICS 1
0.1%
Fara sulfet 1
0.1%
Fertiliger 1
0.1%
Finished leather 1
0.1%
Fleece Fabrics 1
0.1%
GREEN TEA LEAF 1
0.1%
Gray fabrics 1
0.1%
Gray leaf 1
0.1%
Green Pappa 1
0.1%
Grey oxide 1
0.1%
HAIR DYE 1
0.1%
HERBS 1
0.1%
HIGH DENSITY POLYETHYLENE 1
0.1%
Herbal Product 1
0.1%
IRON 1
0.1%
IRON BAR 1
0.1%
IRON PRODUCT 1
0.1%
Inert 1
0.1%
Iron 4
0.3%
Iron Ingot 1
0.1%
Iron sulfate 1
0.1%
JUTE 1
0.1%
Jute 1
0.1%
KALOMAG 1
0.1%
LAPSHA 1
0.1%
LED chips 1
0.1%
LENTIL 2
0.1%
Lead 1
0.1%
Leaves of Tulsi 1
0.1%
Lentil 1
0.1%
Lime 1
0.1%
Lime stone 1
0.1%
Low Density Polyethene 1
0.1%
M S PLATE 1
0.1%
M S ROD SEET 1
0.1%
M S STEEL 1
0.1%
M.S (MILD STEEL) 1
0.1%
M.S ROD 1
0.1%
M.S SHEET 1
0.1%
M.S STEEL 1
0.1%
M.S. Steel 1
0.1%
M.S. sheet 1
0.1%
M.STEEL 1
0.1%
MEDICINAL PLANTS 1
0.1%
MICRO FIBER 1
0.1%
MILK POWDER 2
0.1%
MIND STEEL 1
0.1%
MOLASSES 1
0.1%
MS PLATE 1
0.1%
MS Plate 1
0.1%
MS SHEET 1
0.1%
MS Sheet 1
0.1%
MS sheet 1
0.1%
Magnesium Dioxide 1
0.1%
Medicinal Leaves 1
0.1%
Medicine plant 1
0.1%
Melamine powder 1
0.1%
Melted Iron 1
0.1%
Melting Scrap, iron 1
0.1%
Menthol, calcium powder , clove oil etc. 1
0.1%
Metal Sheet 1
0.1%
Molten iron 1
0.1%
Motor 1
0.1%
Mutilated M. T. T 1
0.1%
OLD CARTOON 1
0.1%
OSHA GANDHA 1
0.1%
P.O.L 1
0.1%
PANTROPAJOLE 1
0.1%
PEPRAUGE 1
0.1%
PLASTIC 2
0.1%
PLASTICS 1
0.1%
POLY ETHYLENE 1
0.1%
PUNJABI WITHOUT EMBROIDERY 1
0.1%
Para Amino Phenol 1
0.1%
Parts for fans 1
0.1%
Pesticides 1
0.1%
Plastic 3
0.2%
Plastic powder 2
0.1%
Plurum chemical 1
0.1%
Poly propylin 1
0.1%
Poly propylin yarn 1
0.1%
Powder 1
0.1%
Printed circuit board 1
0.1%
RAW JUTE 2
0.1%
RESIN 1
0.1%
RESIN VARNISH OIL 1
0.1%
ROW JUTE 1
0.1%
RUBBER 1
0.1%
Resin 2
0.1%
Rubber 1
0.1%
S.S. Plate 1
0.1%
SALT 1
0.1%
SCRAP IRON 1
0.1%
SCRAP ROD 1
0.1%
SCRUB OF COPPER 1
0.1%
SHEET 1
0.1%
SHRIM FISH 1
0.1%
SILICON SHEET 1
0.1%
SOLV ET 1
0.1%
SOYABEEN 1
0.1%
STAINLESS STEEL SHEET 1
0.1%
STEEL MATERIAL 1
0.1%
Salvitamol 1
0.1%
Silicon Sheet 2
0.1%
Silicon sheet 1
0.1%
Steel wire Rod 1
0.1%
TALCAM 1
0.1%
TC Cotton Fabrics 1
0.1%
TELO 1
0.1%
TIN CANS 1
0.1%
Tamsulim 1
0.1%
Tin 1
0.1%
Tin Rupban 1
0.1%
Turmeric, chilly 1
0.1%
Unrefined salt 1
0.1%
Used lube oil 1
0.1%
V P SHEET 1
0.1%
Vaseline Shite 1
0.1%
WASTE COTTON 1
0.1%
WATER 1
0.1%
WAX 1
0.1%
WOOD 1
0.1%
WOOD POWDER 1
0.1%
Water 1
0.1%
Wax 2
0.1%
wax 1
0.1%
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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