Resilience Firm Survey 2018
Dar es Salaam, Tanga and Dodoma
Tanzania, 2018
Get MicrodataIdentification
| Name | Country code |
|---|---|
| Tanzania | TZA |
RFS data contain information on firm characteristics, use of suppliers, infrastructure dependency, firm experience with disasters and risk management and coping capacity. Firm characteristics include sector engagement, number of employees, number of clients, costs and sales information. Use of supplier information include location of suppliers, use of inputs, frequency of restocking, storage capacity, etc. Infrastructure dependency focuses on use of infrastructure, such as water, electricity and transport, frequency of disruptions, impacts of disruptions on demand and sales, use of backup infrastructure, etc. Firm experience with disasters captures both direct (damages to property) and indirect (infrastructure and supply chain disruptions) impacts of recent disasters, as well as coping behaviors and recovery of sales after a shock. Risk management and coping capacity capture information on use of hazard risk information, access to insurance and preparedness measures. The RFS can be customized to collect information on different sectors and type of disasters. So far, it has focused on the impacts of urban flooding (TZ) and hurricanes/storms (CAR).
The series was developed and financed by Global Facility for Disaster Reduction and Recovery (GFDRR) in collaboration with Disaster Risk Management, Resilience and Land Global Practice (GPURL), country counterparts, and selected survey firms.
This project was a collaborative effort between Global Facility for Disaster Reduction and Recovery (GFDRR) and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL).
Coverage
Dar es Salaam, Dodoma, and Tanga
Producers and sponsors
| Name | Affiliation |
|---|---|
| Alvina Erman | World Bank |
| Jun Rentschler | World Bank |
| Julie Rozenberg | World Bank |
| Stephane Hallegatte | World Bank |
| Name |
|---|
| Global Facility for Disaster Risk Reduction |
Sampling
The sampling frame consisted of the official business registry obtained from the National Bureau of Statistics' (NBS) in Tanzania. It contained a list of 58,959 firms in Dar es Salaam, Tanga, and Dodoma. Firms listed without a functioning telephone number were excluded from the sampling frame.
All registered firms were divided into five distinct strata, depending on their reliance on transport systems. Ordered from low to high transport reliance, these strata contain firms from the following sectors:
1 Accommodation and food service activities, Construction
2 Communication and other services
3 Manufacturing, Mining, Water, Energy, Agriculture
4 Transportation and storage
5 Wholesale and retail trade, Repair of motor vehicles and motorcycles
The sample selection was completed in one stage, with firms selected through a systematic random sampling method from each stratum. In terms of regional distribution, the sample contains 623 firms from Dar es Salaam, 101 from Dodoma, and 113 from Tanga. About 10 percent of listed firms were interviewed, with the main reasons for the low response rate being incorrect addresses, expectation of payment for survey participation, and concerns about disclosure of tax-relevant information.
All survey results, using the survey weights computed, should be interpreted as representative of private businesses located in the 3 cities Dar es Salaam, Dodoma, and Tanga and registered in the NBS business registry with phone access.
About 10 percent of listed firms were interviewed, with the main reasons for the low response rate being incorrect addresses, expectation of payment for survey participation, and concerns about disclosure of tax-relevant information.
Survey instrument
• Firm characteristics
o Sector
o Number of workers
• Infrastructure dependence and disruptions
o Water
o Electricity
o Communication (phone and internet)
• Suppliers
• Workers and transport disruptions
• Clients
• Most serious natural shock that affected the firm
• Operational costs
• Investments
Data collection
| Start | End |
|---|---|
| 2018-09 | 2018-11 |
- Computer Assisted Personal Interview [capi]
| Name |
|---|
| UDA Consulting |
The World Bank
Data processing
The following data editing was done for anonymization purposes:
- Precise location data, such as GPS coordinates, and;
- Identifying information, such as firm names, respondent names, phone numbers and emails contacts, were dropped
Access policy
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes |
Confidentiality has been ensured through a process of anonymization (see Technical Document for details). |
Data is accessible for licensed users only and further dissemination of data is not allowed.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The World Bank. Tanzania - Resilience Firm Survey (RFS) 2018, Dar es Salaam, Tanga and Dodoma. Ref: TZA_2018_RFS_v01_M. Dataset downloaded from microdata.worldbank.org on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | |
|---|---|---|
| Alvina Erman | GFDRR | aerman@worldbank.org |
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank |
Documentation of the DDI |