Census Of Establishments 2012
Statistical Report
Zanzibar, Tanzania, 2012
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Reference ID
TZA-2012-CRE-v01-M
Producer(s)
The Office of Chief Government Statistician
Metadata
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Dec 04, 2023
Last modified
Dec 09, 2023
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Identification
Survey ID Number
TZA-2012-CRE-v01-M
Title
Census Of Establishments 2012
Subtitle
Statistical Report
Country
| Name | Country code |
|---|---|
| Zanzibar, Tanzania | TZA |
Study type
Enterprise Census [en/census]
Series Information
In the year 1994 the office registered all establishments operating in locations with fixed premises in all districts; this exercise was known as Central Register of Establishments (CRE). The following CRE was conducted in the year 1996, whichaimed to improve and update the previous register. However, additional questions on turnover generated poor response to this updating. A further updating of the register was done in the year 2001.
The Office of the Chief Government Statistician (OCGS) in collaboration with the National Bureau of Statistics (NBS) conducted Business Census in the year 2004. That census covered all establishments and served as a basis for register of all existing establishments by that time. This register was further updated in 2008. The OCGS put a plan of conducting a Census of Establishments in the year 2012 through Statistical Capacity Building Project (STATCAP) which is a national project implemented jointly by NBS, OCGS and other institutions.
The Office of the Chief Government Statistician (OCGS) in collaboration with the National Bureau of Statistics (NBS) conducted Business Census in the year 2004. That census covered all establishments and served as a basis for register of all existing establishments by that time. This register was further updated in 2008. The OCGS put a plan of conducting a Census of Establishments in the year 2012 through Statistical Capacity Building Project (STATCAP) which is a national project implemented jointly by NBS, OCGS and other institutions.
Abstract
The report of the 2012 Central Register of Establishment contains a wide range of information on business activities operating in fixed premises. It covers all operating businesses countrywide, the distribution of establishments industrial activity, the level of employment, the type of legal ownership, the type of premises used, the year in which the business started and market stallholders.
The Census of Establishments covers all administrative regions: Mjini Magharibi, Kusini Unguja, Kaskazini Unguja, Kusini Pemba and Kaskazini Pemba which provides the means of selecting samples that accurately represent a population of business establishments to be surveyed and studied. The economic activities undertaken by the business establishments were classified according to the International Standard Industrial Classification (ISIC) Revision 4 and the report is structured according to four major industry sectors. The results of this census revealed that, in Zanzibar, there were 23,355 establishments doing business in fixed premises and involved 125,331 workers engaged at different institutions. In terms of numbers of establishments half of all establishments (52.2 percent) were concentrated at Mjini Magharibi with a total of 55,518 workers (44.3 percent). The region with smallest number of establishment was Kusini Unguja with 10 percent of all establishment and a total of 12,863 persons engaged in different industries.
The distribution of the establishments according to sectors show that 53 percent of workers engaged in Services activities compared to 12 percent which are engaged in agricultural sectors, the total number establishments in agricultural industries count to 942 which is equivalent to 4 percent of all establishments counted in the census. The services industry plays a great role to provide an employment for young and individual persons in the islands even though they contribute 24.3 percent of all establishments.
The results further shows that more than 82 percent of the establishments employ one to four persons , and most of those were owned by families. The smallest proportion of workers (5 percent) were found in the establishments with employment size five to nine persons . The results shows that males alone owned 84.1 percent of all family owned establishments that are operated in Zanzibar while females alone owned only 12.6 percent. The rest 3.3 percent of establishments were jointly owned by males and females. The results show that most of establishments (61.9 percent) are of recent origin with five years or less. This reflects that most of establishments operating in Zanzibar are non-sustainable. This non-sustainability is contributed by, among other factors, low capital, low level of awareness on how to manage businesses as well as several tax authorities that hinder the growth of those establishments.
The Census of Establishments covers all administrative regions: Mjini Magharibi, Kusini Unguja, Kaskazini Unguja, Kusini Pemba and Kaskazini Pemba which provides the means of selecting samples that accurately represent a population of business establishments to be surveyed and studied. The economic activities undertaken by the business establishments were classified according to the International Standard Industrial Classification (ISIC) Revision 4 and the report is structured according to four major industry sectors. The results of this census revealed that, in Zanzibar, there were 23,355 establishments doing business in fixed premises and involved 125,331 workers engaged at different institutions. In terms of numbers of establishments half of all establishments (52.2 percent) were concentrated at Mjini Magharibi with a total of 55,518 workers (44.3 percent). The region with smallest number of establishment was Kusini Unguja with 10 percent of all establishment and a total of 12,863 persons engaged in different industries.
The distribution of the establishments according to sectors show that 53 percent of workers engaged in Services activities compared to 12 percent which are engaged in agricultural sectors, the total number establishments in agricultural industries count to 942 which is equivalent to 4 percent of all establishments counted in the census. The services industry plays a great role to provide an employment for young and individual persons in the islands even though they contribute 24.3 percent of all establishments.
The results further shows that more than 82 percent of the establishments employ one to four persons , and most of those were owned by families. The smallest proportion of workers (5 percent) were found in the establishments with employment size five to nine persons . The results shows that males alone owned 84.1 percent of all family owned establishments that are operated in Zanzibar while females alone owned only 12.6 percent. The rest 3.3 percent of establishments were jointly owned by males and females. The results show that most of establishments (61.9 percent) are of recent origin with five years or less. This reflects that most of establishments operating in Zanzibar are non-sustainable. This non-sustainability is contributed by, among other factors, low capital, low level of awareness on how to manage businesses as well as several tax authorities that hinder the growth of those establishments.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Household and Individual
Version
Version Description
v2.1: Edited, anonymous dataset for public distribution.
Version Date
2014-03
Scope
Notes
The scope of the Census of Establishments covers both public and private establishments that are located in both urban and rural areas of the country. It also included those establishments which sell or produce in open markets, within a fixed location.
Coverage
Geographic Coverage
Zanzibar
Universe
The census registers all public and private establishment operating at fixed premises.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| The Office of Chief Government Statistician | Ministry Of Finance And Planning |
Producers
| Name | Affiliation | Role |
|---|---|---|
| World Bank | European Union | Technical Support |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| World Bank | WB | Financial Supporter |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Mr. Mbwana Othman Mbwana | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Ali Idrisa Shamte | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Abdulla Othman | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Said Hamad Shaame | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Khamis Abdulrahman Msham | The Office of Chief Government Statistician | Questionnaire Design |
| Ms. Fahima Mohamed Issa | The Office of Chief Government Statistician | Questionnaire Design |
| Ms. Habiba Soud Salim | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Fadhil Ali Hassan | The Office of Chief Government Statistician | Questionnaire Design |
| Mr. Ramadhan Hassan Mrisho | The Office of Chief Government Statistician | Questionnaire Design |
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2012-11-01 | 2012-12-31 | 45 days |
Data Collection Mode
Face-to-face [f2f]
Supervision
The role of the supervisor was to coordinate field data collection activities, including management of the field teams, maps and lists of households, communicate with local authorities concerning the survey plan .Additionally, the field supervisor spot checked work, review completed questionnaires sent by interviewers , maintained field control documents and sent completed questionnaires and progress reports to the central office.
Data Collection Notes
The Zanzibar CRE enumeration started on November 2012 and took forty five (45) days to complete. Data collection started simultaneously at Mjini District for Unguja and Micheweni District for Pemba. The enumeration exercise was undertaken using team work approach with a face to face interview; owners of establishments were the respondents. Teams were allocated to Shehia. Two special teams, one for Unguja and another for Pemba were also allocated to hotels. These teams were responsible solely for data collection in hotels, lodges and guest houses.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Office Of the Chief Government Statistician | OCGS | Ministary Of Finance And Planning |
Questionnaires
Questionnaires
There were three (3) questionnaires used in the 2012 Census of Establishments, those are:
Questionnaire One (Form 1): it was the main instrument for collecting the establishment information. This questionnaire was designed to fit all information which is collected from one establishment which includes Identification, full address, main activity, the date establishment start to operates, type of establishment, owner, legal registration, type of building and number of employees.
Questionnaire Two (Form 2): it was used to collect information from Hotels, Guest houses and lodges. This questionnaire is the same as questionnaire one except that some questions were added to meet the stakeholders needs.
Questionnaire Three (Form 3): it was designed to list stallholders in recognized markets; one questionnaire was used to register all stallholders from each market.
Questionnaire One (Form 1): it was the main instrument for collecting the establishment information. This questionnaire was designed to fit all information which is collected from one establishment which includes Identification, full address, main activity, the date establishment start to operates, type of establishment, owner, legal registration, type of building and number of employees.
Questionnaire Two (Form 2): it was used to collect information from Hotels, Guest houses and lodges. This questionnaire is the same as questionnaire one except that some questions were added to meet the stakeholders needs.
Questionnaire Three (Form 3): it was designed to list stallholders in recognized markets; one questionnaire was used to register all stallholders from each market.
Data Processing
Data Editing
Data processing for this Census of Establishments was done through four stages. Although quality checks were placed at each stage of the survey, data processing emphasized on validation and other quality issues at these four different stages,
namely:
-Manual editing and coding
-Data entry
-Data cleaning and validation, and
-Production of summary tables (tabulation)
Data collected from the field were checked out manually first by editors for each question to ensure that it is appropriately filled. Consistency of the responses was also verified at this stage. Additionally, manual editors assigned codes for each
question whose response requires external codes (codes which are not written in the questionnaire) for example, ISIC Rev.4 codes for main activities. Other checks include business identification, age of establishment, premises, ownership, registration status and number of persons employed/ engaged. Data capturing process, cleaning and validation were facilitated by using well known data processing software, CSPro 5.0 and then the clean data were exported to statistical analysis software, SPSS 18, for the final stage of processing which was tabulation. During data cleaning validation checks were carried out to ensure that there were no errors. Microsoft Excel was used for producing charts which were sometimes used in analysis instead of tables.
namely:
-Manual editing and coding
-Data entry
-Data cleaning and validation, and
-Production of summary tables (tabulation)
Data collected from the field were checked out manually first by editors for each question to ensure that it is appropriately filled. Consistency of the responses was also verified at this stage. Additionally, manual editors assigned codes for each
question whose response requires external codes (codes which are not written in the questionnaire) for example, ISIC Rev.4 codes for main activities. Other checks include business identification, age of establishment, premises, ownership, registration status and number of persons employed/ engaged. Data capturing process, cleaning and validation were facilitated by using well known data processing software, CSPro 5.0 and then the clean data were exported to statistical analysis software, SPSS 18, for the final stage of processing which was tabulation. During data cleaning validation checks were carried out to ensure that there were no errors. Microsoft Excel was used for producing charts which were sometimes used in analysis instead of tables.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Head of Data Management | The Office of Chief Government Statistician | abdullah.makame@ocgs.go.tz | www.ocgs.go.tz |
Confidentiality
Confidentiality of respondent guaranteed under Statistical Act No. 9 of 2007
(a) All identification such as name and address has been removed;
(b) The information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which it relates.
(c) Not attempt to identify any particular person or undertaking or business.
Access conditions
- Public use files, accessible to all
Citation requirements
"The Office of Chief Government Statistician, 2012 Census of Registered Establishment (CRE 2012),version 1.0 of the public use dataset (March 2014), provided by the National Data Archive. www.ocgs.go.tz"
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Chief Government Statistician | OCGS | zanstat@ocgs.go.tz | www.ocgs.go.tz |
Disclaimer and copyrights
Disclaimer
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.
Copyright
(c) 2023, The Office of Chief Government Statistician
Metadata production
DDI Document ID
DDI-TZA-2012-CRE-v01-M-OCGS
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| The Office of Chief Government Statistician | OCGS | Ministry Of Finance And Planning | Documentation of the study |
Date of Metadata Production
2023-11-23
DDI Document version
Version 1.0