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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
6784
Downloads
100
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  • rfs_tanzania_2018

Type of Input (q4_3_5)

Data file: rfs_tanzania_2018

Overview

Valid: 144
Invalid: 0
Type: Discrete
Start: 1669
End: 1725
Width: 57
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
AUTO SPARES 1
0.7%
Advertisement inputs ( posters, banners, fliers & others) 1
0.7%
Aggregate 1
0.7%
Air conditioner 1
0.7%
Alimony,veggies,groceries etc 1
0.7%
Anti virus 1
0.7%
Banana 1
0.7%
Beans 2
1.4%
Bedsheets 1
0.7%
Berings 1
0.7%
Binding 1
0.7%
Blue band 1
0.7%
Bread 1
0.7%
Break shoe, fire extinguisher, bolt 1
0.7%
Bricks 1
0.7%
Broom 1
0.7%
CCTV Cameras 1
0.7%
CEMENT 1
0.7%
Car spare parts 1
0.7%
Cement 2
1.4%
Cleaning detergents 1
0.7%
Cocacola 1
0.7%
Color Paints 1
0.7%
Colors, stick 1
0.7%
Colour 1
0.7%
Cooking oil 1
0.7%
DRINKING WATER 1
0.7%
DRINKS 1
0.7%
Diesel and petroleum 1
0.7%
Door and Windows lock 1
0.7%
Doorknobs 1
0.7%
ELECTICAL MATERIALS 1
0.7%
ELECTRIC DEVICES 1
0.7%
Eggs 1
0.7%
FOOD STUFF 1
0.7%
Food 1
0.7%
Food oil 2
1.4%
Food products 1
0.7%
Fruits 1
0.7%
Fuel 1
0.7%
Fuel and gas 1
0.7%
Furnitures 2
1.4%
G 1
0.7%
GENERAL PARTS 1
0.7%
GENERAL SPARE 2
1.4%
GENERAL STATIONARY 1
0.7%
Gas 1
0.7%
Glis 1
0.7%
Grease 1
0.7%
Hail Oils like Blue Magic 1
0.7%
IODINE 1
0.7%
IT services 1
0.7%
Kerosene 1
0.7%
Kilimanjaro drinking water 1
0.7%
Kokoto 1
0.7%
Labels 1
0.7%
Landline telephone 1
0.7%
Locks 1
0.7%
Locks,Saws etc 1
0.7%
Lubricating oil 1
0.7%
MITUMBA 1
0.7%
MOTH 1
0.7%
Manufacture of color Paints 1
0.7%
Masafi water 1
0.7%
Meat 2
1.4%
Meat and fish 1
0.7%
Medical 1
0.7%
Medical equipment 1
0.7%
Medical staffs 1
0.7%
Medicines 3
2.1%
Medicines,Syringe,Gloves etc 1
0.7%
Moth 1
0.7%
Nido 1
0.7%
Oil 1
0.7%
PEN AND PENCIL 1
0.7%
PIPES FOR CONSTRUCTION 1
0.7%
Pads and lubricants 1
0.7%
Paints 1
0.7%
Pebble 2
1.4%
Personal protective equipment 1
0.7%
Plan 1
0.7%
Premix /multivitamin 1
0.7%
Production of fuel and plastics 1
0.7%
Protection coat 1
0.7%
RUBRICANTS 1
0.7%
Regeter 1
0.7%
Ropes 1
0.7%
SLIPPERS 1
0.7%
SPARES 1
0.7%
Salt 1
0.7%
Security equipments like camera, alarms 1
0.7%
Sembe 1
0.7%
Sewing machine oil 1
0.7%
Shampoos,Shampoo Bowls 1
0.7%
Soap 1
0.7%
Soaps 1
0.7%
Soft drinks and water 1
0.7%
Spanner,bolts,Jack,Welding rod etc 1
0.7%
Spare parts 1
0.7%
Spoji(godoro) 1
0.7%
Sponges 1
0.7%
Starter for Vw Golf 4 1
0.7%
Stationaries 3
2.1%
Stationeries 1
0.7%
Stationery like office equipments 1
0.7%
Stiff 1
0.7%
Sugar 1
0.7%
Suits 1
0.7%
TOOLS 1
0.7%
Tea Leaves 1
0.7%
Tea Spices 1
0.7%
Tissues 1
0.7%
Tomato chil 1
0.7%
Tools and machinery 1
0.7%
Transportation Lorries 1
0.7%
Uhai 1
0.7%
Uniform 1
0.7%
Vanish 1
0.7%
Viazi,mafuta,mafuta 1
0.7%
Vinywaji aina zote 1
0.7%
Vinywaji barid 1
0.7%
Viti na meza 1
0.7%
Voucher and sim banking online payments 1
0.7%
Water 1
0.7%
Wheat flour 1
0.7%
Windowk 1
0.7%
Wine 2
1.4%
Wines 1
0.7%
Wood and cotton 1
0.7%
Zips 1
0.7%
coral paint 1
0.7%
white flour 1
0.7%
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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