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
Created on
Jul 13, 2022
Last modified
Jul 13, 2022
Page views
5437
Downloads
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- Data files
- rfs_tanzania_2018
Please, specify (q6_8_3b_other)
Data file: rfs_tanzania_2018
Overview
Valid:
35
Invalid:
0
Type:
Discrete
Start:
2664
End:
2730
Width:
67
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Availability of cash on time | 1 |
2.9%
|
|
| Breakdown of the system ( Network Issues) | 1 |
2.9%
|
|
| Cars breakdown | 1 |
2.9%
|
|
| Customers to be many | 1 |
2.9%
|
|
| Delay of money from clients | 1 |
2.9%
|
|
| Delaying of customers to pay money early | 1 |
2.9%
|
|
| Destruction of transportation cars | 1 |
2.9%
|
|
| Due to large number of Patients | 1 |
2.9%
|
|
| Floods | 1 |
2.9%
|
|
| Funeral | 1 |
2.9%
|
|
| Health problems | 1 |
2.9%
|
|
| Internal affairs | 1 |
2.9%
|
|
| Its depends on payments from clients | 1 |
2.9%
|
|
| Kuchelewa kwa material | 1 |
2.9%
|
|
| Kuzidiwa na kazi | 1 |
2.9%
|
|
| Lack of Availability of raw materials. | 1 |
2.9%
|
|
| MACHAFUKO SEHEMU YA KAZI | 1 |
2.9%
|
|
| Machine Maintenance | 1 |
2.9%
|
|
| Many customers | 1 |
2.9%
|
|
| Network problem | 1 |
2.9%
|
|
| Old sewing machine | 1 |
2.9%
|
|
| Payment from clients come late | 1 |
2.9%
|
|
| Personal issues | 1 |
2.9%
|
|
| Poor system of payment from clients | 1 |
2.9%
|
|
| Problem with their supplies | 1 |
2.9%
|
|
| Rain | 1 |
2.9%
|
|
| Rainfall | 1 |
2.9%
|
|
| Shortage of drivers to take the orders | 1 |
2.9%
|
|
| Shortage of funds | 1 |
2.9%
|
|
| Sick | 1 |
2.9%
|
|
| Sikuwa na mtu wa kupeleka mzigo kwa muda ukiotakiwa | 1 |
2.9%
|
|
| Suppliers are usually penalized if they are caught supplying timber | 1 |
2.9%
|
|
| The delay of money from the clients | 1 |
2.9%
|
|
| Traffic jam | 1 |
2.9%
|
|
| Ugonjwa | 1 |
2.9%
|
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.