The broad objective of the CIP 2013 Census was to generate relevant and up-dated industrial information that will be used to assess the contribution of industrial sector to the economy. Moreover, The output of the Census provides bench-mark data for other subsequent surveys and analysis for planning, evidence-based policy formulation and decision making purposes on the sector.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
- v0.1: Edited, anonymous dataset for public distribution.
Census of Industrial Production
sensa ya viwanda
Unit of Analysis
The CIP 2013 covered all establishments that engaged 10 persons or more and a sample of establishments which engaged less than ten person. It covered establishments that were active in 2013 and engaged in activities falling under any of the following four industrial sub-sectors; mining and quarrying, manufacturing, electricity, gas, steam and air conditioning supply, and water supply, sewerage, waste management and remediation activities.
Producers and sponsors
National Bureau of Statistics
Ministry of Industry, Trade and Investment
Confederation of Tanzania Industries
United Nations Industrial Development Organization
The United Replic of Tanzania
Tanzania Statistics Master Plan Basket Fund
The Census covered all industrial establishments that engaged ten or more persons and a sample of establish-ments which engaged less than ten persons. Sampled stratum were used , all establishments in the selected areas with either one to four (1-4) or five to nine (5-9) workers, where 80 or more establishments were found in the same activity. A systematic Sampling Procedures with a random start was used, taking about 50 units in the selected employment size class for different activities.
Deviations from the Sample Design
The simplest method to present the difference between the sample and the population is to calculate the Standard Error of the Mean (SEM). This is the standard deviation of the sample-mean’s estimate of a population mean. The SEM is usually estimated as the sample estimate of the population standard deviation (sample standard deviation) divided by the square root of the sample size.
The response rate was over 90 percent
The weights consisted for two parts. The first part was the raising factor. This is a design feature and is the mathematical inverse of the sampling fraction. The second part is the adjustment for non-response. This is because the establishment was closed after the listing was conducted and therefore no information could be obtained any more. Some units were not cooperating while others had moved to a different, but unknown location.
Dates of Data Collection (YYYY/MM/DD)
Mode of data collection
Type of Research Instrument
Short Questionnaire for establishments with 1 to 9 persons
Long Questionnaire for establishments engaging more than ten (10+) persons
Questionnaires are provided as external resources.
National Bureau of Statistics
Ministry of Finance and Planning
Data processing was carried out in six major stages namely; Questionnaire reception, manual editing and coding of the questionnaires, data entry, data cleaning and validation, accuracy and consistency checks and tabulations.
The dataset has been anonymized and available as a public use dataset. It accessible to all for statistical and research purposes only, under the following terms and conditions:
1.The data and other material will not be redistributed or sold to other individuals, institutions, or organization without the written agreement of the National Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3.No attempt will be made to produce links among dataset provided by the National Bureau of Statistics, or among data from the (National Bureau of Statistics) and other datasets that could identify individuals or organizations
4.No attempt will be made to re-identify respondents, and no use will be made of the identify of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics.
5.Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
"National Bureau of Statistics, The 2013 Census of Industrial Production , version 1.0 of the public use datasets (March 2017), provided by the National Bureau of Statistics, www.nbs.go.tz"
Disclaimer and copyrights
"The user of the data should acknowledges that, National Bureau of Statistics is the original collector of the data , the authorised distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences without a written agreement from the National Bureau of Statistics"