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    Home / Central Data Catalog / TZA_2018_RFS_V01_M / variable [F1]
central

Resilience Firm Survey 2018, Dar es Salaam, Tanga and Dodoma

Tanzania, 2018
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Reference ID
TZA_2018_RFS_v01_M
Producer(s)
Alvina Erman, Jun Rentschler, Julie Rozenberg, Stephane Hallegatte
Metadata
DDI/XML JSON
Study website
Created on
Sep 07, 2022
Last modified
Sep 07, 2022
Page views
6648
Downloads
100
  • Study Description
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  • rfs_tanzania_2018

Type of Input (q4_3_4)

Data file: rfs_tanzania_2018

Overview

Valid: 247
Invalid: 0
Type: Discrete
Start: 1590
End: 1668
Width: 79
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
All market corrateral, branding and t.shirt 1
0.4%
Ant fangul 2
0.8%
Azam juice 1
0.4%
BOXES FOR PAKAGE 1
0.4%
Banana 1
0.4%
Bed sheets and blankets 1
0.4%
Beer and spirit 1
0.4%
Beverages (Water) 1
0.4%
Billboards 1
0.4%
Blood pressure 1
0.4%
Blue band 2
0.8%
Bogas bag 1
0.4%
Bucket 1
0.4%
Building materials 1
0.4%
Bus 1
0.4%
Bus service 1
0.4%
CEMENT 1
0.4%
COMPUTER ACCESSORIES 1
0.4%
Cabbage and green vegetables 1
0.4%
Car services 1
0.4%
Castle 1
0.4%
Cement 3
1.2%
Charcoal stove 1
0.4%
Chekecho za mashine,bering,fan belt,water pumps etc 1
0.4%
Chemicals 1
0.4%
Cigarettes 1
0.4%
Cleaning Detergents 1
0.4%
Cleaning detergents 8
3.2%
Cleaning equipment 1
0.4%
Clothes 1
0.4%
Cocacola 1
0.4%
Color Paints 1
0.4%
Colour for printing 1
0.4%
Computers 1
0.4%
Condom 1
0.4%
Containers 1
0.4%
Cooking Gas 1
0.4%
Corn Bran 1
0.4%
Cutting disc 1
0.4%
DRINKING WATER 1
0.4%
Darken love for hair 1
0.4%
Detergent 1
0.4%
Diseal or oil filter 1
0.4%
Disel 1
0.4%
Drinking water 1
0.4%
Drinks 1
0.4%
Eyeglasses lens 1
0.4%
FILTERS AND OTHER SPARE 1
0.4%
FUELS AND GAS 1
0.4%
FUNITURES 2
0.8%
Fan belt,oil cease 1
0.4%
Feni,alminium 1
0.4%
Flatty Bar 1
0.4%
Flavor 1
0.4%
Flour 3
1.2%
Food 3
1.2%
Food oil 1
0.4%
Fuel 2
0.8%
Fuel for cars and motorcycle 1
0.4%
Furnitures 2
0.8%
Furnitures e.g Staffs Chairs 1
0.4%
GENERAL PARTS 2
0.8%
GENERAL SPARE 2
0.8%
GENERAL STATIONARY 2
0.8%
Gauni 1
0.4%
Glass 1
0.4%
Glue/adhesive 1
0.4%
Goat meat 1
0.4%
Gypsum boards 1
0.4%
Gypsum boards and powder 2
0.8%
Hand bags 1
0.4%
Head lamp 2
0.8%
Hook 1
0.4%
Ips pipe 1
0.4%
Juice 3
1.2%
Kilimanjaro 1
0.4%
Kill it 1
0.4%
Laboratories chemicals 1
0.4%
Laboratory chemicals and equipments 1
0.4%
Laining clothes 1
0.4%
Lal Garage 1
0.4%
Lens 1
0.4%
MALARIA PILLS 1
0.4%
MALE CLOTHING 1
0.4%
MASHINE ZAND SPARE PARTS 1
0.4%
MATTRES 1
0.4%
MEAT 1
0.4%
MITUMBA 1
0.4%
MOTOY PARTS REPAIRE AND MAINTENANCE 1
0.4%
Maize 1
0.4%
Mashuka 1
0.4%
Massage oil and petroleum jelly 1
0.4%
Meat 1
0.4%
Medical 1
0.4%
Medicine 1
0.4%
Medicines 3
1.2%
Medicines,gloves,Sanitaries etc 1
0.4%
Metals 1
0.4%
Milk 1
0.4%
Mkasi/wembe,stiff 1
0.4%
Moth 3
1.2%
Moth or iron 1
0.4%
Motor Vehicle spare parts 1
0.4%
Motor vehicle spare parts 1
0.4%
Motor vehicle wheels 1
0.4%
Nail 3
1.2%
Nail Polish,Nail Polish Racks 1
0.4%
OFFICE FUNITURES 1
0.4%
Oil 2
0.8%
Oil filters 1
0.4%
PARTY DRESS 1
0.4%
PLASTIC GRANULE 1
0.4%
POTATOES 1
0.4%
Pebble 1
0.4%
Peds 1
0.4%
Pepsi 1
0.4%
Petroleum Jelly like Vestline,Baby Care,Family Care,Mascara, Bodline ,Asher etc 1
0.4%
Petty cash 1
0.4%
Phones,Airtimes etc 1
0.4%
Pillow and Bed shits 1
0.4%
Plastic 1
0.4%
Plastic bags 1
0.4%
Plumbex 1
0.4%
Potatoes 1
0.4%
Powder and other shelvin accessories 1
0.4%
Production of gas 1
0.4%
Protective helmets 1
0.4%
Rain shades 1
0.4%
Rim Locks 1
0.4%
Ropes 1
0.4%
Rubber 1
0.4%
SITE CLOTHES 1
0.4%
SPARE PARTS 1
0.4%
Sabuni,majani ya chai,kalamu,maji,soda,chumvi,madaftar 1
0.4%
Salama halisi (condom) 1
0.4%
Sand 1
0.4%
School Dustbins 1
0.4%
Scissors 1
0.4%
Security 2
0.8%
Selling oil filters 1
0.4%
Sewing Needles 1
0.4%
Sewing machine oil 1
0.4%
Shampooo such as Grace, Olive Oil Spray and Pink lotion etc 1
0.4%
Shock up 1
0.4%
Shoes pairs 1
0.4%
Side mirror 1
0.4%
Sleepy pampas 1
0.4%
Soap 1
0.4%
Soaps 1
0.4%
Soda 1
0.4%
Soft drinks 2
0.8%
Soft drinks (soda) 1
0.4%
Soil 2
0.8%
Spare parts 1
0.4%
Spirit and other sheving accessories 1
0.4%
Square pipe 1
0.4%
Stationaries 8
3.2%
Stationary 1
0.4%
Stationery 1
0.4%
Stiff 2
0.8%
Stone 1
0.4%
Stones 1
0.4%
Sugar 2
0.8%
Sukari,mafuta,Sabuni etc 1
0.4%
Sunflower seed cake 1
0.4%
Sweets and Biscuits 1
0.4%
TEXT BOOKS, FILES 1
0.4%
Textile fabrics 1
0.4%
Threads 1
0.4%
Tiles 3
1.2%
Tiles, GYPSUM POWDER 1
0.4%
Timber 2
0.8%
Tomato boxex 1
0.4%
Tools for repairing the sewing machines and to maintain the office 1
0.4%
Trousers 1
0.4%
Trucks, motorbikes and hiaces 1
0.4%
Uhai 1
0.4%
Uniforms 1
0.4%
Uniforms,Furnitures,Tickets,Marketing Materials,Office Materials etc 1
0.4%
Vegetables,meat and other cooking materials 1
0.4%
Vehicles wheels 1
0.4%
Viaz 1
0.4%
Vitambaa 1
0.4%
Viungo vitunguu karoti 1
0.4%
Vouchers 2
0.8%
Water 2
0.8%
Weapons 1
0.4%
Wheat and rice 1
0.4%
Whole sales of iron tools 1
0.4%
Wine 1
0.4%
Wires,bulb 1
0.4%
Wood 1
0.4%
Wooden Furnitures eg)Chairs and desks 1
0.4%
Wooden Furnitures eg, tables and chairs 1
0.4%
cold drinks 1
0.4%
deasel 1
0.4%
gas 1
0.4%
gold, zinc electroplating (colour ) 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.
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