Statistical Methods, Standards and Guidelines
63 Rural 288 18 Urban 288 18
Total 4,032 252 Rural 2,528 138 Dar es Salaam 608 38 Other urban 896 56
8 Survey Instruments
To suit its multiple objectives the NPS will be comprised of a set of survey instruments.
Specifically, there will be four questionnaires:
household questionnaire
agriculture questionnaire (for the subset of NPS households engaged in agricultural
activities)
Community questionnaire
Price questionnaire
The household questionnaire will include a set of core modules (sections) which will be implemented annually. Table 2 presents an overview of the proposed core modules. They deal with the dynamics of poverty (per capita consumption, cash and non-cash income, savings, assets, food security, health and education), vulnerability and social protection and program participation). The core modules will be revised after year 1 to account for the changing socioeconomic environment, but it is expected that they are by-and-large the same in every annual survey round to ensure comparability. The final decisions about what will be core modules will need to be taken by the NPS Technical Committee. The core modules will largely exclude in-depth information on topics covered in on-going survey plans (such as maternal and child health issues covered at length in the DHS).
In addition to the core modules, which are fairly comprehensive, the design of the NPS allows for the introduction of thematic modules on a rotating basis. Rotating modules can be added to the NPS to capture information on outcomes that either might not change quickly over time (e.g. perceptions such as currently captured in the Views of the People Survey) or that reflect recent policies and programs of interest. There may also be questions that should be included because there is a special interest such as a module to test the abilities of primary school students. These non-core modules
Statistical Methods, Standards and Guidelines
64 (sometimes they could be single questions) could be included upon request in which case there is scope for the NPS to become (partially) self-financing as it seems reasonable that those requesting to add non-core modules contribute to the cost of running the NPS. To date various such requests were made including to capture gender and gender violence (UNFPA), nutrition (TFNC/UNICEF), community investments (TASAF) or agriculture (Gates Foundation / ASDP).
Table 2: Overview of Household Questionnaire
Core Modules
Section
Level of obs.
A
Survey information
Household
B
Household member roster (incl. antropometrics)
Individual
C
Education
Individual
D
Health
Individual
F
Labor and Time Use (Adults and Children 10+)
Individual
G
Housing
Household
H
Water, Sanitation and Energy Use
Household
I
Consumption of Food (recall)
Household
J
Household non-food consumption
Household
K
Agriculture (core module)
Household
L
Assets
Household
M
Household Enterprises
Enterprise
N
Transfers and remittances
Household
O
Credit
Loans
P
Recent Shocks
Household
Q
Mortality of household members
Deceased
Rotating (optional) Modules
Non-core topics
Examples: Perceptions about government services, sanitation, crime
In addition, the instruments will include an extensive agricultural module which will be administered to all households in the main sample identified during the main interview as being involved in crop and/or livestock production. Thus, the main questionnaire will contain a selected number of questions on land and livestock ownership and main crops to enable the identification of the relevant households for the follow-up interview which will be administer soon after the core survey by a interviewer with good knowledge of the sector.
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65
The extensive agricultural module with allow, among other things, for the annual estimation of land
area, both owned and cultivated, as well as production figures for main crops and livestock.
Detailed cost of production for selected crops will also be collected but less frequently. In
intermittent years, the collection of additional information for the characterization of the sector, e.g.
access to extension services and irrigation facilities, will also be pursued.
The choice of s pecific agricultural-related topics for inclusion in certain years will be done by
NBS in close collaboration with the relevant line ministries. Over a three -year cycle, the
instrument will thus provide an array of sectoral indicators at the national and sub-national
level, each at the frequency deemed most appropriate also in light of specific reporting
requirements.
In addition to a household questionnaire the NPS comprises other questionnaires including a community questionnaire (to assess community ch aracteristics including, economic infrastructure, and the presence of programs and interventions). The inclusion of a price questionnaire is also possible, and will depend on the availability of reliable and timely price information, currently being collected by the Ministry of Industry and Trade.
Draft questionnaires have been prepared and the technical team will revise these taking into account the need to align with other national surveys (HBS, DHS, ILFS) to enhance comparability. The Standards and Met hods Department of the NBS will ensure quality of the questionnaire and will also assist with ensuring consistency with other surveys.
9 Project Team The set up of the NPS project team is intended to ensure that the NPS will provide timely and high-quality data on an annual basis. The team consists of two groups: the Management Team and office support staff, and the mobile Field Team.
The Management Team consists of a Project Manager who oversees all aspects of the NPS. The Project Manager is supporte d by a full -time International Resident Advisor who will provide, among other things, technical and analytical support for the first two years of the panel. There is a Field Manager who oversees field work by the interview teams and a Data Manager who oversees all aspects of data processing and production. Administrative support is provided by an office assistant and a (part-time) financial officer.
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66
The Field Teams are designed to be small, mobile units comprised of well -trained enumerators who will be emp loyed on an annual basis and possibly retained for several years. By having small field staff in continuous employment and extensive supervision, the project seeks to ensure the quality of the work and the commitment of its staff. There will be six Field t eams comprised of: 1 Field Supervisor, 2 Household questionnaire interviewers, 1 Agriculture questionnaire interviewer, 1 Data Entry Operator, and 1 Driver. Data entry will be carried out in the field and concurrently with the fieldwork to checking or erro rs and corrections in almost real time, as well as speed up the preparation of the final dataset for analysis.
10 Release Calendar and Data access
Within 3 months of completion of the field work of every survey round, a cleaned and
anonymized data set will be made publicly available through the NBS web site.
Statistical Methods, Standards and Guidelines
67 5.0 ECONOMIC STATISTICS.
5.1 ANNUAL SURVEY OF INDUSTRIAL PRODUCTION (ASIP).
Objective and use of product The survey aims at producing basic industrial statistics in accordance with the UN International Recommendations for Industrial Statistics so as to ensure national and international comparability. The survey is designed to :
Collect statistics on the operating characteristics and structure of the industrial sector
in the country;
Assess the contribution of industrial sector to the overall economy;
Obtain data for computing national accounts estimates;
Obtain data for the construction of Input -Output tables
Assess the current status of the industrial sector in the country;
Identify conditions that affect firm-level productivity and competitiveness;
Secure inputs for use by the Government and other organizations in developing and reviewing economic policies, programmes and strategies that support sector - productivity and growth;
Provide facts to support dialogue with the Government and other development partners so as to enhance public-private sector partnership; and
Update the existing data for Monitoring and Evaluation at the level of industrial sub- sectors.
Methodology of data production
Reference period Data are requested for and in many cases supplied on a calendar year basis. Those units of enquiry that could not supply data according to calendar ye ar due to allocation problems are advised to supply the data according to the financial years that cover larger part of the reference calendar year. Unit of enquiry
Statistical Methods, Standards and Guidelines
68 In principal, t he statistical unit is an establishment defined as an economic unit, which engages under a single ownership or control in one, or predo minantly one kind of economic activity at a single physical location i.e. an individual firm, mine, factory or workshop. However, for certain firms which cannot furnish separate data at an establishment level, the enterprise is used as the unit of enquiry. It should be noted here that , due to record keeping practices of some firms, it has not been possible in every case to strictly follow the definition of an establishment as stated above. Therefore, in a few cases, the restrictions especially on location should be relaxed.
Scope and coverage
Scope
The survey covered all industrial establishments with ten or more workers.
According to the latest UN International recommendations, the industrial sector is comprised of
establishments engaged in “Mining and q uarrying” (ISIC Revision 4, Section B), “Manufacturing”
(Section C), “Electric power generation, transmission and distribution” (Section D) and “Water
collection, treatment and supply” (Section E).
Manufacturing, according to international recommendations , is defined as the physical or chemical transformation of materials or components into new products, whether the work is performed by power-driven machines or by hand, whether it is done in a factory or in the worker‟s home, and whether the products are sold at wholesale or retail prices.
Coverage
Due to budget constraint, the survey covers all industrial establishments with ten or more workers
(persons engaged ). The other cluster with 1 -9 workers is covered during a census of industrial
production suppos ed to be carried out after every ten years depending on the availability of
financial resources.
The questionnaire The questionnaire is designed according to “The International Recommendations for Industrial Statistics” of the United Nations and takes into consideration the requirements of the stakeholders. The information collected satisfies the needs of National Accounts and are considered to be useful to both the government, researchers and the business community.
The following, is the information collected through the questionnaire:-
Statistical Methods, Standards and Guidelines
69 General Information, Employment, Labour costs, Input/ Purchases, Output, Inventory of working capital and Expenditure on fixed assets.
Data collection Data collection is undertaken by a trained team of enumerators under the supervision of supervisors from NBS headquarters. Training of field-staff takes place after the Training of Trainers (ToT). The NBS is responsible for the training of supervisors. The s upervisors are then responsible for the training of enumerators in the regions.
Fieldwork is conducted by total enumeration to the establishments. The field -staff visit all the establishments and assist the filling in of the questionnaires. Respondents are asked to provide the data from their accounting records for calendar year of the reference year.
Data processing Completed questionnaires are sent to the NBS headquarters in Dar es Salaam where they are edited and coded by NBS staff. The data entry system used is CSPro after which the data are transferred to Microsoft Access for generation of tables. E stimates are made by means of substitutions using the secondary data of previous ASIP survey. The cleaned dataset are then used to generate the preliminary tables as per tabulation plan.
Organisation of the Report The report presents the industrial statistics according to the latest UN recommendations (2008). The tables are grouped separately at the end of the report and refer to establishments with 10 or more workers.
The report also presents the main results relating to both quantitative and qualitative information that were also collected through the survey. Tables referring to such information are integrated within the section giving the major findings. The tables therefore refer to the respondents only as indicated therein.
Reference to applicable standards and classifications Industrial classification Establishments are classified into industries on the basis of major activity in conformity with the International Standard Industrial Classification (ISIC) Revision 4. Each industry is basically
Statistical Methods, Standards and Guidelines
70 defined in terms of its principal products or services, these being similar in nature or commonly associated in production
5.2 THE PRODUCTION INDEX OF MANUFACTURING INDUSTRY (PIMI)
Objective and use of Product
The survey aim s at producing basic quarterly statistics on major commodities according to UN
International Recommendations for Industrial Statistics. The survey is intended to:
Collect quarterly commodity statistics on the operating characteristics and structure of
industrial sector in the country;
Assess the contribution of industrial sector to the overall economy;
Obtain data for computing National Accounts estimates;
Obtain data for the construction of Input -Output tables
Assess the current status of the industrial sector in the country;
Identify conditions that affect firm-level productivity and competitiveness;
Secure inputs for use by the Government and other organs in developing/reviewing policies,
programmes and strategies that support sector-productivity growth;
Provide the private sector with facts to support dialogue with Government and other
partners so as to enhance public-private sector partnership; and
Update existing Monitoring and Evaluation data at the level of industrial establishments.
Methodology of Data Production
Coverage
The Production Index of Manufacturing Industry (PIMI) measures developments in the production
in manufacturing establishments that on average have a labour force of 50 persons or more.
However, the index includes some establishment s with a labour force of less than 50 persons to
cover those activities that otherwise would not be represented. In total, slightly more than 300
establishments are surveyed on quarterly basis, contributing slightly m ore than 85% to total
manufacturing gro ss output according to the latest industrial census results. The index covers
Tanzania Mainland only.
Statistical Methods, Standards and Guidelines
71 Data Collection and Processing Data for the Quarterly Survey of Industrial Production is collected through questionnaires which are sent at the end of the reference period to the Regional Statistical Managers and later distributed to the respective establishments. Questionnaires are collected in the first month after the end of the reference period. Follow -ups are made by physical visits and telephone ca lls. Where necessary, a team of supervisors is sent to the regions to speed-up the process.
The survey collects monthly data on quantities produced with standard units for all major commodities produced by the establishment, together representing at least 85% of output. Both the establishments and the commodities are classified according to International Standard Classification of All Economic Activities (ISIC) Revision 3. In addition, the questionnaire asks for the establishment's number of employees, total labour cost and the turnover during the quarter. The accuracy of the responses is verified both at the regional offices and at NBS headquarters.
Data Processing and Analysis Data processing takes place centrally in Dar es Salaam . The basket weights ref er to annual output valued at ex -factory selling prices for each establishment separately. The lowest level indices are calculated as the production of the current quarter, expressed in units like kilograms, square meters, litres, etc., divided by product ion in the base year (divided by four to bring it to a quarterly basis). These lowest level indices are aggregated according to the Laspeyre ‟s formula to obtain group and overall indices.
There are various methods to deal with missing data on quantities p roduced. If the figure for one - month is missing from the quarterly questionnaire, it is usually estimated on the basis of the data reported for the two other months of the same quarter. If no data is reported, the production changes for the corresponding p eriod in the previous year are applied on the last quoted production. If no other method is applicable, the missing production data is carried forward.
Periodicity The PIMI is compiled and disseminated on a quarterly basis.
Timeliness In principle, the PIMI is released six weeks after the reference period
Statistical Methods, Standards and Guidelines
72 Reference to applicable standards and classifications
Industrial classification Establishments are classified into industries on the basis of major activity in conformity with the International Standard Industrial Classification (ISIC). Each industry is basically defined in terms of its principal products or services, these being similar in nature or commonly associated in production. The index is compiled at 4-digit ISIC levels, but published in 3-digit ISIC detail.
5.3 INDUSTRIAL CENSUS Objective and use of Product It is done after every ten years depending on the availability of financial resources. . The main objective of the Industrial Census is to obtain comprehensive data on the contribution of the Industrial sector to Gross Domestic Product (GDP) and to up -date the previous industrial census data. Broadly, the survey provides baseline data on the economic characteristics of the industrial sector for use in planning, policy formulation, monito ring and evaluation of government programmes aimed at improving the sector and the economy.
Specific Objectives are:
To obtain an updated list of operating industrial establishments;
To measure the size of employment in the industrial sector;
To measure workers remuneration;
To measure cash income;
To measure the amount of stocks held;
To measure value added;
To measure expenditure on fixed assets;
To collect information on the principal activity, size and ownership;
To get benchmark data for other su bsequent industrial surveys to be used for updating
data series; and
To enhance technical capacity and workplace skills development for departmental
staff.
Methodology of Data Production
Statistical Methods, Standards and Guidelines
73 Scope and Coverage The Scope is the entire industrial sector (Mining , Manufacturing, Electricity, Gas and Water). The Coverage is also the entire industrial sector with total coverage of the 10+ cluster (establishments engaging 10 persons or more) and a sample of the 1 -9 cluster (establishments engaging 1 -9 persons).
Organization
After the decision to carry out a census, it becomes essential to socialize it as a project. As such, a
number of committees have to be formed namely:
The Central Census Committee whose role is to steer the operation. It consists of knowledgeable members who have authority to take decisions. They normally come from government institutions, data producers and data users.
The Technical Committee whose role is to deal with all technical aspects. It is responsible for decisions on recruitment and t raining of census staff, questionnaire design, sampling procedure, tabulation plan, field work, data processing, analysis and publication of reports.
Inter- Institutional Team comprising subject -matter specialists who are able to coordinate census logisti cs with crucial role of determining the demand structure of consumers.
Sampling Sampling is done for those establishments engaging 1 – 9 persons as indicated above.
Census Instruments
Two kinds of questionnaires are used for data collection, long and short questionnaires. The long or
the detailed questionnaire is used for establishments engaging ten or more persons and the short
questionnaire is used for establishments engaging one to nine persons.
Data collection Data collection is done through intervi ew. Enumerator is supposed to visit all establishments involved in Industrial Census dealing with Mining and quarrying, manufacturing, Generation and distribution of electricity, gas and water. When the completed questionnaires are received from the
Statistical Methods, Standards and Guidelines
74 regions, each questionnaire is registered by recording the establishment‟s Identification number (ESTID), ISIC Code, Region Code, district code and size code. Then the questionnaires are filled region wise ready for data entry.
Manual editing, coding, data entry, validation and tabulation Editing and coding is done immediately after the arrival of questionnaires at the NBS headquarters. Data entry is done using personal computers to the designed data entry system. Data validation is done to detect outliers‟ fig ures and miss -keying in of data by data entry operators. Tabulation is done using statistical packages.
Standards and clarifications All establishments are classified by ISIC code by considering the main activity of the establishment.
5.4 BUSINESS SURVEY Business Survey covers all businesses operating on fixed premises and collects basic structural information about each business namely; name and address; location with corresponding Geographical Positioning System (GPS) coordinates, type of premises, mai n activity and ownership, employment and year of commencement.
Objective The overall objective of the Business Survey is to provide a sampling frame for business surveys as well as to generate information needed for the construction of a directory of busi nesses that can be used as a guide to investors, researchers, the business community and the general public.
Specific objectives include the improvement of National Accounts aggregates particularly in the estimation of the country‟s Gross Domestic Produc t (GDP) and to supplement the Central Register of Establishments (CRE) particularly on the part of informal industry whose small businesses have always been difficult to capture through the normal registration system of the country due to their extreme volatility and high birth and death rates.
Methodology
- Advance Planning
Statistical Methods, Standards and Guidelines
75 The first step involves setting up of an efficient administrative system that will directly be responsible for the overall management of the survey.
The second step is to form a d edicated technical team that can manage the technical aspects of the project.
The third step is to establish a stakeholders‟ committee.
-
Sampling The best assumption made is to cover the most concentrated areas with business activities using the Central Register of Establishments as a guide.
-
Questionnaire Design A total of five questionnaires are used namely: Questionnaire number one is for the listing of the geographical area names within wards.
Questionnaire number two is the main questionnair e of the survey and is used to collect business data.
Questionnaire number three is complementary to questionnaire number two in the sense that when it happens a respondent cannot provide all the information instantly as requested in questionnaire number two then, questionnaire number three is left behind for completion by the respective respondent.
Questionnaire number four is designed to collect information of branches of head quarter businesses or enterprises.
Questionnaire number five is designed to list stallholders in recognized markets.
- Field Organization
Field enumeration is organized in such a way that all levels of Regional Administration and Local Government are involved in one way or another. In addition, the NBS survey team includ ing enumerators and field supervisors are officially introduced to the District Authorities by the respective Regional Administrations before the enumeration. District authorities through their Ward Executive Officers and Street (Mtaa) Chairpersons are res ponsible for providing escort to the enumerators during enumeration at a very minimal cost.
Statistical Methods, Standards and Guidelines
76 6. Data Processing The questionnaires are first pre -edited in the field by supervisors to make sure that they are complete and accurate enough before delivering them to NBS head office. In the case of missing information, the questionnaires are returned to the field for correction.
Questionnaires received at NBS head office are re -edited and entered into the data capture system. Special queries are developed by the IT technician into the system for validation checks of the data variables.
5.5 INTERGRATED BUSINESS SURVEY (IBS) Objective and use of product Integrated Business Survey measures the performance of key indicators of the distributive trade and construction sectors of the economy. The information collected is used in the compilation of National Accounts aggregates such as Gross Domestic Product (GDP).
Specific Objectives
To obtain information on the number and geographic distribution of construction, distributive trade and service establishments;
To estimate the number of persons engaged in these sectors; Obtain data on the type and flow of goods and services in order to allow policy formulation to strengthen the sectors;
To get estimates of the contribution of the construction, distributive trade and services activities to Gross Domestic Product (GDP); and
To obtain data that could be helpful in formulating socio-economic plans and programmes.
Methodology of Data Pproduction
- Advance Planning The first step involves setting up of an efficient administrative system that would directly be responsible for the overall management of the survey.
Statistical Methods, Standards and Guidelines
77 The second step is to form a dedicated technical team that can manage the technical aspects of the project.
The third step is to establish a technical committee.
- Questionnaire Design In carrying out the survey, a set of questionnaires are developed taking into account stakeholders‟ requirements and UN recommendations. For the distributive trade module , two questionnaires , DTS 01 and DTS 02 (large and small) are used as instruments for data collection. The small questionnaire covers establishments with 5 to 9 persons engaged and the large questionnaire covers establishments with 10 or more persons engaged.
Likewise, for the construction module, two questionnaires (small and large) are used for data collection. The small questionnaire (CIS 1 FORM A) covers establishments of contractors in classes 5 to 7 (with an average investment cost of less than 500 million shillings ) and the large questionnaire (CIS 2 FORM B) covers establishments of contractors in classes 1 to 4 (with an average investment cost of more than 500 million shillings)
- Sample design The classification of activities is based on the International Standard Industrial Classification (ISIC) Revision 4. In practice, complete coverage is impossible due to limited financial resources, the survey is done on a sample basis. Most of the small establishments doing business in those kinds of activities operate in a manner that makes it very difficult to locate during field work.
For the construction activity, all establishments in classes 1 – 4 are fully covered while those establishments in classes 5 – 7 are sampled.
All establishments enga ging 10 or more persons are fully covered, while those establishments engaging 5 to 9 persons are sampled. Distributive trade, stratification is by the size of establishment i.e. number of persons engaged. The sampling strategy ensures representation by cl ass, size and classification of the economic activities at national level. The stratification in construction is based on the activity and class of the establishment.
- Field Work
Statistical Methods, Standards and Guidelines
78 Data is collected from the establishments through interviews. Managers of the respective establishments are visited by enumerators and asked to supply the required information.
- Data Processing and Management Data processing centralized at NBS Head Office , starts one month after the commencement of fieldwork and continues concurrently with the field enumeration exercise. The data capture system is developed using CSPro version 4.0, MS Access and MS Excel. The data processing team comprise two permanent IT department staff who become data processing supervisors, three data editors, two data verifiers and nine data entry operators who are temporarily employed. Data entry is accomplished in two months‟ time.
Data editors are supposed to edit the questionnaires received from the regions by checking the correctness and filling in the respective codes. Edited questionnaires are entered into the computer by data entry operators. On completion of data entry, the data are cleaned by the IT staff assisted by data verifiers for validation checks of the data variables.
The main investigation variables used for checking consistence of data entered in the data base are employment, labour cost, expenditures and receipts.
Data files are created into two databases, the first one is for the distributive trade and the second one is for the construction industry.
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Report Writing The Integrated Business Survey produces three reports namely; the Methodology or the Technical Report; and two main survey reports namely; the Distributive Trade Report and the Construction Report.
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National Stakeholders Workshops and Dissemination After the completion of the report writing, the reports are disseminated through stakeholders‟ workshops for comments and recommendations before the preparation of final reports.
5.6 TANZANIA TOURISM SECTOR SURVEY Tanzania Tourism Sector Survey is managed and implemented by five participating institutions namely, the Bank of Tanzania (BOT), the National Bureau of Statistics (NBS), the Ministry of
Statistical Methods, Standards and Guidelines
79 Natural Resources and Tourism (MNRT), Immigration Department and Zan zibar Commission for Tourism (ZCT). These institutions carried out the International Visitors‟ Exit Surveys since 2001.
The following are the primary objectives of the survey:
• To provide an up -to-date price information for estimating tourist expenditu re in Tanzania in order to improve compilation of National Accounts and Balance of Payments (BOP) Statistics; and
• To collect information for tourism promotion and macro-economic policy formulation.
Methodology Scope of the Survey The survey targeted international visitors to Tanzania. A person is considered as an international visitor if he/she travels to a country other than that of his/her usual residence, and outside his/her usual environment for a period not exceeding twelve months and whose main purpose of visit is other than an activity remunerated from within the country visited.
Sample size The survey sample size is normally designed to capture about one percent of tourist s arrivals annually. In order to allow comparability across the years, t he sample size has remained constant to the one used during the 2004 International Visitors‟ Exit Survey.
Survey period The survey is usually conducted during the tourist peak season, in order to be able to capture most of tourists‟ characteristics. In that regard, a two-week survey is normally done during the fourth and fifth weeks in the peak season.
Coverage Since the survey aims at obtaining data on inter alia, expenditure and length of stay, it is necessary that it is carried out at departure point s. The survey is normally conducted at four major departure points, namely Julius Nyerere International Airport (JNIA), Kilimanjaro International Airport (KIA), Zanzibar Airport (ZAA) and Namanga (NAM) border.
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The Questionnaire
The questionnaire used in the survey comprises of four main parts namely: visitor profiles, travel
behaviour, expenditure patterns and visitor comments. (Appendix I)
Questions 1 and 2 aimed at establishing visitor profiles (nationality, country of residence and age group).
Questions 3 to 6 targeted at obtaining travel behaviour namely purpose of visit, type of tour (package/non-package), items in the package and nights spent.
Questions 7 to 11 were structured to capture expenditure of visitors and cost of package tour associated with Tanzania. In addition, the questions requested for details on the amount of money spent in Tanzania.
Question 12 was aimed at obtaining comments from the visitors on their perception of Tanzania‟s tourism industry.
5.7 DISTRIBUTIVE TRADE SURVEY IN TANZANIA The envisaged survey objectives is to ensure effective compilation, analysis and dissemination of acceptable distributive trade statistics (including hotels, restaurants and tourist service providers) for use by government, business community and general public. Other specific survey objectives are as follows:
Provide up to date statistical information for the improvement of the compilation of National Accounts (GDP).
Set benchmarks for distributive trade statistics in Tanzania
Collect information for planning and macro-economic policy formulation such as employment, marketing and financial services.
Provide indicators for MKUKUTA monitoring.
Methodology