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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
Get Microdata
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
6715
Downloads
100
  • Study Description
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  • rfs_tanzania_2018

4.1. Supplier # (q4_1_1)

Data file: rfs_tanzania_2018

Overview

Valid: 805
Invalid: 0
Type: Discrete
Start: 1151
End: 1186
Width: 36
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1 5
0.6%
3 1
0.1%
5 1
0.1%
A 100
12.4%
A1 2
0.2%
APPLE MAX 1
0.1%
Abuu haitham 1
0.1%
Afya 2
0.2%
Agent 1
0.1%
Aglex Radio 1
0.1%
Assa Abloy 1
0.1%
Azam 4
0.5%
Azam suppliers 1
0.1%
Azania company 1
0.1%
Azania flour 1
0.1%
B 9
1.1%
B1 4
0.5%
BAHARI 1
0.1%
BLDY General supply 1
0.1%
BM Computer solutions 1
0.1%
BNBM 1
0.1%
Babu shop 1
0.1%
Bahari 1
0.1%
Bahari phamarcy 1
0.1%
Bajuta 1
0.1%
Bakhresa 1
0.1%
Bakhresa company ltd 1
0.1%
Baraka store 1
0.1%
Barik 1
0.1%
Bariki 3
0.4%
Bariki medical store 1
0.1%
Batiki house of store 1
0.1%
Bed sheet suplliers 1
0.1%
Bed sheet suppliers 1
0.1%
Beka Pharmacy 1
0.1%
Bgs 1
0.1%
Blocks 1
0.1%
Bm 1
0.1%
Boss 1
0.1%
Bulb ensocketsupplier 1
0.1%
C 5
0.6%
C1 3
0.4%
CAT 1
0.1%
CEMENT 1
0.1%
CENTAZA 2
0.2%
CFAO Company 1
0.1%
CHEMICALS MINES 1
0.1%
CORAL 1
0.1%
Carpentry limited 1
0.1%
Cement suppliers 1
0.1%
Champion 1
0.1%
China supplier 1
0.1%
Citizen 1
0.1%
Co pharmacy 1
0.1%
D 4
0.5%
D1 3
0.4%
Datts 1
0.1%
Dstv 1
0.1%
Dunia ya Warembo 1
0.1%
E 3
0.4%
E1 2
0.2%
EDU 1
0.1%
ELLY 1
0.1%
Emirates 1
0.1%
F 4
0.5%
F1 1
0.1%
FROLA 1
0.1%
Farmer 1 1
0.1%
Farmers 4
0.5%
Five M General Supplier 1
0.1%
Ford rangers 1
0.1%
Frotis 1
0.1%
Fuel 1
0.1%
G 13
1.6%
G1 1
0.1%
GDP 2
0.2%
GEREZANI SPARES 1
0.1%
GOBA STATIONARY 1
0.1%
GOODLUCK 1
0.1%
GOVERNMENT 1
0.1%
GPSA 1
0.1%
GPSAM 1
0.1%
GYPSA (Bohari kuu ya Serikali ) 1
0.1%
Gabriel 1
0.1%
Galamwenda 1
0.1%
Geradina 1
0.1%
Global pharmacy 1
0.1%
Gold star 2
0.2%
Good one 1
0.1%
Government 5
0.6%
Government suppliers 1
0.1%
Grance care 1
0.1%
Guilin pharmaceutical 1
0.1%
Guilin pharmaceutical ltd 1
0.1%
H 11
1.4%
H1 4
0.5%
HAJI 1
0.1%
Hair food supplier 1
0.1%
Hardware 1
0.1%
Heko Pharmacy 1
0.1%
Hikvision 1
0.1%
Husna stationary 1
0.1%
I 2
0.2%
IMMA 1
0.1%
INSIGHT SECURITY ACCESSORIES 1
0.1%
Ilala 2
0.2%
International Electronics 1
0.1%
International Pharmacy 2
0.2%
International phamacy 1
0.1%
Ismail 1
0.1%
J 3
0.4%
J1 1
0.1%
JACKON 1
0.1%
JACLINE SUPPLY 1
0.1%
JAMANA 1
0.1%
JJ CARGO 1
0.1%
JJ OFFICE SUPPLY 1
0.1%
JONSON CONNECTOR 1
0.1%
JUSTINE 1
0.1%
Jambo 2
0.2%
James Shop 1
0.1%
Johari Senga 1
0.1%
Joyce karata 1
0.1%
K 8
1%
K1 1
0.1%
KASIM 1
0.1%
KHAMIS SPARES 1
0.1%
KISIMA 2
0.2%
KIVUKO PRINTER 1
0.1%
Kabela whole sale shop 1
0.1%
Kamaka 2
0.2%
Kariakoo 1
0.1%
Kariakoo Spare parts 1
0.1%
Kariakoo Textiles shop 1
0.1%
Keyboard suppliers 1
0.1%
Kilombero sugar suppliers 2
0.2%
Kimario 1
0.1%
Kitatesha 1
0.1%
Kondoa supplier 1
0.1%
L 4
0.5%
LIKOMA FORWADERS 1
0.1%
Lake oil 1
0.1%
Laptop city 1
0.1%
Lsg tanzania ltd 1
0.1%
M 11
1.4%
MAC IMPOTERS 1
0.1%
MAFONGO 1
0.1%
MAKAME AUTO GARAGE 1
0.1%
MARIAM 1
0.1%
MARINE STATIONARY 1
0.1%
MASUMIN 2
0.2%
MAULID 1
0.1%
MEENA 1
0.1%
MKUTUBI 1
0.1%
MKWANO GARAGE 1
0.1%
MSD 3
0.4%
Machinga complex 1
0.1%
Maize supplier 1
0.1%
Mama frank 1
0.1%
Mama said 2
0.2%
Mangi 1
0.1%
Mangi Shop 1
0.1%
Manko Maselo 1
0.1%
Mariam 1
0.1%
Maskati 1
0.1%
Masoud shop 1
0.1%
Masumini 1
0.1%
Mbeya and Morogoro farmers 1
0.1%
Medical store department 2
0.2%
Medicines suppliers 1
0.1%
Metal products ltd 1
0.1%
Millenium 1
0.1%
Mj Enterprises 1
0.1%
Mkondya Meat supply 1
0.1%
Mogas 1
0.1%
Mohamed interprise 1
0.1%
Mohance 1
0.1%
Mrs Mrema 1
0.1%
Mselia 1
0.1%
Mselia Enterprises 1
0.1%
Mserea 1
0.1%
N 1
0.1%
N. Shop 1
0.1%
NAFAKA 1
0.1%
NGOMANO 1
0.1%
NILE SPARE 1
0.1%
NISSAN 1
0.1%
NJIG AUTO 1
0.1%
NKURUMAH STATIONARY 1
0.1%
Net 1
0.1%
Ngosha Spare Parts Shops 1
0.1%
Nice enterprises 1
0.1%
Nida 1
0.1%
Nivea 1
0.1%
Nyakusagira pharmacy 1
0.1%
Nyang'ombe butcher 1
0.1%
Nyulikila Investment Ltd 1
0.1%
O 1
0.1%
O1 1
0.1%
ORIXY 1
0.1%
Open Sanity 1
0.1%
Orix gas 1
0.1%
P 4
0.5%
P1 2
0.2%
PARASKIN TRADERS 1
0.1%
PLASTIC AID TO INSUSTRY 1
0.1%
PLASTIC BOTTLES 1
0.1%
PUBLICK 1
0.1%
Pamba kali 1
0.1%
Patrick 1
0.1%
Pepsi company 1
0.1%
Pepsi supplier 1
0.1%
Pepsi suppliers 1
0.1%
Pierson 1
0.1%
Publick 1
0.1%
Q1 2
0.2%
R 10
1.2%
R1 1
0.1%
RAHA 1
0.1%
RAJ DJ 1
0.1%
RETAIL 1
0.1%
Rode pharmacy 1
0.1%
Roho mbuli 1
0.1%
Rojas satiel 1
0.1%
Rujeri Muhela 1
0.1%
S 19
2.4%
S1 35
4.3%
SALUM KAJANGE 1
0.1%
SAM 1
0.1%
SAMBA 1
0.1%
SANNY 1
0.1%
SHAA 1
0.1%
SHAKE STATIONARY 1
0.1%
STATIONARY 2
0.2%
STATIONARY ONE 1
0.1%
STATIONAY 1
0.1%
STELLER MAKUYA 1
0.1%
SYMON 1
0.1%
Saba general 1
0.1%
Saifii 1
0.1%
Samiro 1
0.1%
Schools 1
0.1%
Security 1
0.1%
Serengeti brewaries 1
0.1%
Shehoza 1
0.1%
Shop 1 1
0.1%
Simba cement 1
0.1%
Stationary utensils 1
0.1%
Stationery 1
0.1%
Suit fabrics supplier 1
0.1%
Sun belt supplier 1
0.1%
T 6
0.7%
T-Oil 1
0.1%
T1 3
0.4%
TANZANIA INTERNATIONAL AIRPORT (TIA) 1
0.1%
TAQBIL AUTO 1
0.1%
TEMESA 1
0.1%
TIRES 1
0.1%
TOTAL 1
0.1%
TRYNITY PLASTIC 1
0.1%
Tandika 1
0.1%
Tanga cement 1
0.1%
Tanga fresh 1
0.1%
Tanzania Tele-communication company 1
0.1%
Tanzania breweries 1
0.1%
Tata 1
0.1%
Tata trading co ltd 1
0.1%
Tecno suppliers 1
0.1%
Thailand 1
0.1%
Theba auto parts 1
0.1%
Timber suppliers 2
0.2%
Toyota Suppliers 1
0.1%
Turkish Airlines Inc. 1
0.1%
Twiga Cement 1
0.1%
Tyres supplier 1
0.1%
U 3
0.4%
UPL 1
0.1%
Uhai water products 1
0.1%
Uniform 1
0.1%
Uwiso 1
0.1%
V 4
0.5%
Vitenge suppliers 1
0.1%
Vodacom 1
0.1%
W 13
1.6%
W1 20
2.5%
Windok beer 1
0.1%
X 84
10.4%
X1 51
6.3%
XXX 1
0.1%
Xy 9
1.1%
Xy1 7
0.9%
Y 15
1.9%
Y1 5
0.6%
YAKUB SPARE 1
0.1%
YUSUPH 1
0.1%
Yusta stationary 1
0.1%
Yutong 1
0.1%
Z 8
1%
Z1 3
0.4%
Zuberi Textiles 1
0.1%
k 1
0.1%
x 4
0.5%
x1 1
0.1%
y 6
0.7%
z 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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