The Integrated Labour Force Survey 2006
Zanzibar, Tanzania, 2006
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Reference ID
TZA-2006-ILFS-v01-M
Producer(s)
The Office of Chief Government Statistician, Labour Commission Zanzibar
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Identification
Survey ID Number
TZA-2006-ILFS-v01-M
Title
The Integrated Labour Force Survey 2006
Country
| Name | Country code |
|---|---|
| Zanzibar, Tanzania | TZA |
Study type
Labor Force Survey [hh/lfs]
Series Information
The 2006 Integrated Labour Force Survey was a comprehensive survey and the first of its kind.
Abstract
The 2006 Integrated Labour Force Survey (ILFS) was designed to generate labour market information to meet the socio economic demands of the country as articulated in the Zanzibar long-term plan (Vision 2020). It was further aimed at providing data for use in the monitoring and evaluation of the Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP) as well as the Millennium Development Goals (MDGs).
The ILFS was a comprehensive survey the first of its kind and had four modules namely; Labour Force, Informal Sector, Child Labour and Time Use1. The survey covered 5,600 representative sample households; 3,392 and 2,208 households from rural and urban areas respectively.
The survey was specifically designed to generate reliable information on employment, unemployment, informal sector and in depth information on child labour. Information on economic activity status of the target population was collected on all persons, the analyses and results focused on persons aged 15 years and above. In order capture seasonal variations (throughout the year 2006), data was collected on quarterly basis. The measurements were based on both short term-interval of one week prior to the interview (currently economic activities) and long term interval of twelve months.
Key findings of the Survey are as follows:-
Demographic, Household Characteristics and Income
The results of the survey reveal that the estimated population of Zanzibar, in 2006, was at 1.1 million people, out of whom 40.8 percent lived in urban areas. The population’s median age was 17 years, depicting a very young population with 43.4 percent of the population is below age 15 years.
The national average size of the household is 5.2 persons, where the average size is 5.1 and 5.3 persons for rural and urban areas respectively. One in every five households (21.0 percent) is female headed.
About one third (31.2 percent) of the heads of household have no education. The number of heads of household with no education is higher in rural areas by 42.4 percent. Furthermore, women with no education in rural areas registered 67.8 percent.
The construction material for household dwellings indicated that 67.4 percent of all housing units are roofed with metal sheets; urban areas constitute 83.9 percent and rural areas 56.4 percent. Two- fifths of households were roofed with grass. In urban areas, three out of four dwellings used cement bricks for construction while 56.6 percent of rural housing used wooden poles and mud.
Firewood and charcoal (fuel wood) were found to be the main sources of energy for cooking accounting for 68.7 and 29.0 percent respectively. The households’ drinking water comes from different sources; more than three quarters (75.9 percent) of the households depend on piped water and unprotected wells account for 14 percent.
Traditional pit-latrine is the modal toilet facility found in about one half (49.7 percent) of all households. A significant proportion of households (30.5 percent) have no toilet facility at all. Flush toilets are more common in the urban areas.
More than one half (58.0 percent) of the rural surveyed households were found to depend solely on agriculture while four fifths of the urban households are dependent on remunerations as the main source of income.
Currently Active Population (the Labour Force)
The currently active population or the labour force comprises all persons aged 15 years and above who, during one week prior to the ILFS field data collection date, fulfill the requirements for inclusion among the employed or the unemployed, which together form the Labour Force.
A total of 513,032 (aged 15+ years) persons were found to be currently economically active out of the total working population of 614,987 people. Majority of them (308,436 people )equivalent to 60.1 percent were found in the rural areas compared with (204,596 people) or 39.9 percent found in the urban areas.
Looking at currently employed persons, the results show that male employees dominate making up 51.5 percent and females 48.5 percent. Rural areas have 303,402 (62.6 percent) of the total currently employed persons while urban areas account for 181,178 (37.4 percent). Out of the total, urban areas have 54.5 percent male and 45.5 female currently employed persons, whilst rural areas have 49.8 percent male and 50.2 percent female currently employed persons.
The overall participation rate is 83.7 percent with males exhibiting higher than average rate of 86.8 percent and females 80.8 percent. Participation rate peaks at age group 45-49 for males and 40-44 for females, even when males are observed to enter the labour market earlier and in big numbers.
Unemployment
Unemployment rate is the ratio of the number of unemployed persons to the labour force expressed as percentage. The unemployed is defined as all persons of 15 years of age and above who during the reference week were “without work, available for work and seeking work.”
A total of 28,451 persons out of 614,986 working age population (4.6 percent) were found to be unemployed; 17.7 and 82.3 percent in rural and urban areas respectively.
The overall unemployment rate is 5.5 percent i.e. out of the total labour force 5.5 percent were unemployed. In rural areas, the unemployment rate is 1.6 percent compared to 11.4 per cent in the urban areas. The age groups that experienced the highest unemployment rate were 20-24 years with 13.0 percent (more than double the average) followed by age group 25-29 years
.
Underemployment
Workers are classified as underemployed if they are willing and able to change their work situation in order to, for example, work additional hours, or use their skills better, or increase their income per hour, or work in an establishment with higher productivity etc. regardless of the duration or productivity of their currently
employment situation.
A total of 60,553 persons were found to be underemployed. Most (60.5 per cent) of the underemployed persons fall under ages 15-34 years, led by the age group 20-24, which alone have 18.9 percent of the total currently underemployment. In urban areas, persons aged 15 – 34 years make 64.4 percent. Rural areas lead having 60.0 percent of the total currently underemployment, of whom 32.8 percent were rural male alone. Generally, underemployment is dominated by persons who have attained O-level education and below. Half of the rural underemployed persons are those engaged as unpaid family helpers in agricultural activities (50.0 percent). Rural males take the leading position having 59.7 percent and females 38.3 percent.
Employment-related Income
Employment-related income consists of the payments, in cash, in kind or services, which are received by individuals, for themselves or in respect of their family members, as a result of their current or former involvement in paid or selfemployment.
The mean employment related income received by the paid employees was Tsh 67,809.8 which is lower compared with the mean income received by the self employed persons (Tsh 83,901.3). The same pattern was observed for the median income for the paid employees that stood at Tsh 50, 000 compared with Tsh 70, 000 for the self employment. The results further reveal that the income received by the paid employees has lower variation compared to that received from self employment.
Employment in the Informal sector
It was found that a total of 144,147 persons were engaged in informal sector; majority (45.4 percent) in the age groups 20-34. In rural areas, the informal sector was more dominated by persons with age group 15-19 accounting for 18.0 percent, while in urban areas 16.9 percent were found in the age group 30-34.
Nine out of every ten persons (92.5 per cent) in the informal sector were engaged as self-employed, about 5.4 per cent engaged as paid employees and a small proportion (2.1 per cent) engaged as unpaid family workers.
Overall, about a half (44.9 percent) of the informal sector enterprises are found in two locations namely; within own or business partner's home-with special business and within own or business partner's home-without special business. On whether informal sector operators have access to credit/loans, it was found that nine out of ten (91.9 per cent) operators have never received a loan. More females have received loans (10.2 percent) compared with males (6.3 percent). It is only 8.1 percent of the persons engaged in the informal sector who have received loan and these were mainly from friends and relatives.
Youth Employment (persons aged 15-24)
The total youth population of Zanzibar is estimated at 219,824 persons whereas the rural areas account for 56.2 percent. Less than half (44.9 percent) of the young people have attained lower secondary education and only 0.1 percent had attained their tertiary non university level education.
The currently unemployed population of youth in the age groups 15 to 24 by geographical area reveals that 3,259 unemployed youth (25.0 percent) are in the rural areas and 9,767 (75.0 percent) are in urban areas.
More young women (69.5 percent) than young men (30.5 percent) are unemployed and this is consistent in all the age groups but is significantly larger for the 20 to 24 age group.
The total unemployment rate for young people aged 15 to 24 is 8.7 percent. The male unemployment rate in the urban areas is 11.7 percent, which is higher than in the rural areas, with a rate of 1.7 percent. The female unemployment rate of 23.7 percent in the urban areas is higher compared with 5.1 in the rural areas. The unemployment rate is highest (13 percent) for young people in the age group 20 to 24.
Working children and their conditions
The total number of currently employed children aged 5-17 years were 115,963; males accounted for 59,245 (51.0 percent) and females 56,718 (49.9 percent). The majority of the currently employed children was aged 12-14 years and marked 41,663 (35.9 percent) of the total, most of whom males 21,705 (36.6 percent). Out of total estimated 115,963 employed children, 75.1 percent have attained primary education, followed by 9.9 percent who have had no education and 6.1 percent who attained pre-school education.
Majority (55.5 percent) of the children reported to be working is engaged as unpaid family workers (in-agriculture) followed by those in their own farm or shamba (18.8 percent) and only (1.5 percent) of working children are paid employees.
In urban areas, 30,113 (80.6 percent) of employed children work as unpaid family helpers (non agriculture) followed by 3,363 (9.0 percent) as self-employees. Small proportion 251 children (0.7 percent) of employed children work as unpaid family helpers (in agriculture).
In rural areas, 34,230 (43.6 percent) of employed children work as (unpaid family helpers (non agriculture), 19,171 (24.4 percent) work on their family farms or shamba and 739 (0.9 percent)of working children work as paid employees. It was noted that in urban areas, the number of children working as paid employees is 992 (2.7 percent) whereas in rural areas it is 739 (0.9 percent)
The main activity in which children are involved is fetching water for home use, accounting for 47,780 (41.2 percent) of the working children, 29,892 (25.8 percent) engaged in agriculture, hunting and forestry and 290 (0.3 percent) found in construction.
As for the reasons, about 43,531 (39.3 percent) of working children work to assist in household enterprise, 32,551 (29.4 percent) to get good upbringing and acquisition of skills and 20,942(18.9 percent) of children reported working are engaged in labour so as to supplement household income.
The ILFS was a comprehensive survey the first of its kind and had four modules namely; Labour Force, Informal Sector, Child Labour and Time Use1. The survey covered 5,600 representative sample households; 3,392 and 2,208 households from rural and urban areas respectively.
The survey was specifically designed to generate reliable information on employment, unemployment, informal sector and in depth information on child labour. Information on economic activity status of the target population was collected on all persons, the analyses and results focused on persons aged 15 years and above. In order capture seasonal variations (throughout the year 2006), data was collected on quarterly basis. The measurements were based on both short term-interval of one week prior to the interview (currently economic activities) and long term interval of twelve months.
Key findings of the Survey are as follows:-
Demographic, Household Characteristics and Income
The results of the survey reveal that the estimated population of Zanzibar, in 2006, was at 1.1 million people, out of whom 40.8 percent lived in urban areas. The population’s median age was 17 years, depicting a very young population with 43.4 percent of the population is below age 15 years.
The national average size of the household is 5.2 persons, where the average size is 5.1 and 5.3 persons for rural and urban areas respectively. One in every five households (21.0 percent) is female headed.
About one third (31.2 percent) of the heads of household have no education. The number of heads of household with no education is higher in rural areas by 42.4 percent. Furthermore, women with no education in rural areas registered 67.8 percent.
The construction material for household dwellings indicated that 67.4 percent of all housing units are roofed with metal sheets; urban areas constitute 83.9 percent and rural areas 56.4 percent. Two- fifths of households were roofed with grass. In urban areas, three out of four dwellings used cement bricks for construction while 56.6 percent of rural housing used wooden poles and mud.
Firewood and charcoal (fuel wood) were found to be the main sources of energy for cooking accounting for 68.7 and 29.0 percent respectively. The households’ drinking water comes from different sources; more than three quarters (75.9 percent) of the households depend on piped water and unprotected wells account for 14 percent.
Traditional pit-latrine is the modal toilet facility found in about one half (49.7 percent) of all households. A significant proportion of households (30.5 percent) have no toilet facility at all. Flush toilets are more common in the urban areas.
More than one half (58.0 percent) of the rural surveyed households were found to depend solely on agriculture while four fifths of the urban households are dependent on remunerations as the main source of income.
Currently Active Population (the Labour Force)
The currently active population or the labour force comprises all persons aged 15 years and above who, during one week prior to the ILFS field data collection date, fulfill the requirements for inclusion among the employed or the unemployed, which together form the Labour Force.
A total of 513,032 (aged 15+ years) persons were found to be currently economically active out of the total working population of 614,987 people. Majority of them (308,436 people )equivalent to 60.1 percent were found in the rural areas compared with (204,596 people) or 39.9 percent found in the urban areas.
Looking at currently employed persons, the results show that male employees dominate making up 51.5 percent and females 48.5 percent. Rural areas have 303,402 (62.6 percent) of the total currently employed persons while urban areas account for 181,178 (37.4 percent). Out of the total, urban areas have 54.5 percent male and 45.5 female currently employed persons, whilst rural areas have 49.8 percent male and 50.2 percent female currently employed persons.
The overall participation rate is 83.7 percent with males exhibiting higher than average rate of 86.8 percent and females 80.8 percent. Participation rate peaks at age group 45-49 for males and 40-44 for females, even when males are observed to enter the labour market earlier and in big numbers.
Unemployment
Unemployment rate is the ratio of the number of unemployed persons to the labour force expressed as percentage. The unemployed is defined as all persons of 15 years of age and above who during the reference week were “without work, available for work and seeking work.”
A total of 28,451 persons out of 614,986 working age population (4.6 percent) were found to be unemployed; 17.7 and 82.3 percent in rural and urban areas respectively.
The overall unemployment rate is 5.5 percent i.e. out of the total labour force 5.5 percent were unemployed. In rural areas, the unemployment rate is 1.6 percent compared to 11.4 per cent in the urban areas. The age groups that experienced the highest unemployment rate were 20-24 years with 13.0 percent (more than double the average) followed by age group 25-29 years
.
Underemployment
Workers are classified as underemployed if they are willing and able to change their work situation in order to, for example, work additional hours, or use their skills better, or increase their income per hour, or work in an establishment with higher productivity etc. regardless of the duration or productivity of their currently
employment situation.
A total of 60,553 persons were found to be underemployed. Most (60.5 per cent) of the underemployed persons fall under ages 15-34 years, led by the age group 20-24, which alone have 18.9 percent of the total currently underemployment. In urban areas, persons aged 15 – 34 years make 64.4 percent. Rural areas lead having 60.0 percent of the total currently underemployment, of whom 32.8 percent were rural male alone. Generally, underemployment is dominated by persons who have attained O-level education and below. Half of the rural underemployed persons are those engaged as unpaid family helpers in agricultural activities (50.0 percent). Rural males take the leading position having 59.7 percent and females 38.3 percent.
Employment-related Income
Employment-related income consists of the payments, in cash, in kind or services, which are received by individuals, for themselves or in respect of their family members, as a result of their current or former involvement in paid or selfemployment.
The mean employment related income received by the paid employees was Tsh 67,809.8 which is lower compared with the mean income received by the self employed persons (Tsh 83,901.3). The same pattern was observed for the median income for the paid employees that stood at Tsh 50, 000 compared with Tsh 70, 000 for the self employment. The results further reveal that the income received by the paid employees has lower variation compared to that received from self employment.
Employment in the Informal sector
It was found that a total of 144,147 persons were engaged in informal sector; majority (45.4 percent) in the age groups 20-34. In rural areas, the informal sector was more dominated by persons with age group 15-19 accounting for 18.0 percent, while in urban areas 16.9 percent were found in the age group 30-34.
Nine out of every ten persons (92.5 per cent) in the informal sector were engaged as self-employed, about 5.4 per cent engaged as paid employees and a small proportion (2.1 per cent) engaged as unpaid family workers.
Overall, about a half (44.9 percent) of the informal sector enterprises are found in two locations namely; within own or business partner's home-with special business and within own or business partner's home-without special business. On whether informal sector operators have access to credit/loans, it was found that nine out of ten (91.9 per cent) operators have never received a loan. More females have received loans (10.2 percent) compared with males (6.3 percent). It is only 8.1 percent of the persons engaged in the informal sector who have received loan and these were mainly from friends and relatives.
Youth Employment (persons aged 15-24)
The total youth population of Zanzibar is estimated at 219,824 persons whereas the rural areas account for 56.2 percent. Less than half (44.9 percent) of the young people have attained lower secondary education and only 0.1 percent had attained their tertiary non university level education.
The currently unemployed population of youth in the age groups 15 to 24 by geographical area reveals that 3,259 unemployed youth (25.0 percent) are in the rural areas and 9,767 (75.0 percent) are in urban areas.
More young women (69.5 percent) than young men (30.5 percent) are unemployed and this is consistent in all the age groups but is significantly larger for the 20 to 24 age group.
The total unemployment rate for young people aged 15 to 24 is 8.7 percent. The male unemployment rate in the urban areas is 11.7 percent, which is higher than in the rural areas, with a rate of 1.7 percent. The female unemployment rate of 23.7 percent in the urban areas is higher compared with 5.1 in the rural areas. The unemployment rate is highest (13 percent) for young people in the age group 20 to 24.
Working children and their conditions
The total number of currently employed children aged 5-17 years were 115,963; males accounted for 59,245 (51.0 percent) and females 56,718 (49.9 percent). The majority of the currently employed children was aged 12-14 years and marked 41,663 (35.9 percent) of the total, most of whom males 21,705 (36.6 percent). Out of total estimated 115,963 employed children, 75.1 percent have attained primary education, followed by 9.9 percent who have had no education and 6.1 percent who attained pre-school education.
Majority (55.5 percent) of the children reported to be working is engaged as unpaid family workers (in-agriculture) followed by those in their own farm or shamba (18.8 percent) and only (1.5 percent) of working children are paid employees.
In urban areas, 30,113 (80.6 percent) of employed children work as unpaid family helpers (non agriculture) followed by 3,363 (9.0 percent) as self-employees. Small proportion 251 children (0.7 percent) of employed children work as unpaid family helpers (in agriculture).
In rural areas, 34,230 (43.6 percent) of employed children work as (unpaid family helpers (non agriculture), 19,171 (24.4 percent) work on their family farms or shamba and 739 (0.9 percent)of working children work as paid employees. It was noted that in urban areas, the number of children working as paid employees is 992 (2.7 percent) whereas in rural areas it is 739 (0.9 percent)
The main activity in which children are involved is fetching water for home use, accounting for 47,780 (41.2 percent) of the working children, 29,892 (25.8 percent) engaged in agriculture, hunting and forestry and 290 (0.3 percent) found in construction.
As for the reasons, about 43,531 (39.3 percent) of working children work to assist in household enterprise, 32,551 (29.4 percent) to get good upbringing and acquisition of skills and 20,942(18.9 percent) of children reported working are engaged in labour so as to supplement household income.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individual and households.
Version
Version Description
- v2.1: Edited, anonymous dataset for public distribution.
Version Date
2007-12
Scope
Notes
LFS 1:
- List of usual residents and visitors
- Household economic activity
- Household amenities and community services
LFS 2:
- Usual economic activity
- Current economic activity
- Unemployment
- Main economic activity
- Informal sector (main and secondary)
- Hours worked
- Income
- Time use
CLS 1:
- Earnings and hours of work of children
- Usual economic activity of children
- Non - economic activity of children
- Place of work/employers of children
- Children 5-17 years old working as employees for someone else for payments in-cash or in-kind
CLS 2:
- Usual activities
- School attendance
- Health and safety
- Perception of a child on work
- Working relation and condition for employed children
- List of usual residents and visitors
- Household economic activity
- Household amenities and community services
LFS 2:
- Usual economic activity
- Current economic activity
- Unemployment
- Main economic activity
- Informal sector (main and secondary)
- Hours worked
- Income
- Time use
CLS 1:
- Earnings and hours of work of children
- Usual economic activity of children
- Non - economic activity of children
- Place of work/employers of children
- Children 5-17 years old working as employees for someone else for payments in-cash or in-kind
CLS 2:
- Usual activities
- School attendance
- Health and safety
- Perception of a child on work
- Working relation and condition for employed children
Coverage
Geographic Coverage
Zanzibar
Urban and Rural
Regions
Urban and Rural
Regions
Universe
The survey covers all Private households, usual members residing in the households, All households members aged 5+, Children aged 5-17 years.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| The Office of Chief Government Statistician | Ministry of Finance and Planning |
| Labour Commission Zanzibar | President's Office-Labour, Economic Affairs and Investment |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Internatinal Labour Organisation | United Nation Organization | Technical assistance |
| International and Local Consultants | United Nation Organization | Technical input |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The United Nations Development Programme | UNDP | Financial Support |
Sampling
Sampling Procedure
Using the 2002 Population and Housing data as a sample frame, a one stage cluster sampling procedure was used to select the Enumeration Areas (EAs) as ultimate cluster units for both the rural and urban samples. The reporting unit in the ILFS was a household. Two samples were selected, one for the rural and the other one for the urban part. Both the samples provide national estimates for the domain of interest.
Since the reporting unit in the household based surveys is a household, a sufficient number of households were considered so as to yield estimates of reasonable precision. The aim was to have a sample of households, which will ensure an error margin of at most 5 percent at the 95 percent confidence level. Using precision criterion on determination of sample size, assuming that the dominant characteristics of the study is about 50 percent of the households and setting the error margin on estimating the parameters at 5 percent, then at 95 percent confidence level.
Accordingly, a total of 175 EAs were selected from the NMS, 106 in rural and 69 urban areas to represent all Zanzibar labour force population. From the listed households, 32 households were selected without replacement from each selected EA. With respect to the time use module, eight households were selected per EA and a total of 5,600 households are covered, where 3,392 were from rural areas and 2,208 from urban areas.
Since the reporting unit in the household based surveys is a household, a sufficient number of households were considered so as to yield estimates of reasonable precision. The aim was to have a sample of households, which will ensure an error margin of at most 5 percent at the 95 percent confidence level. Using precision criterion on determination of sample size, assuming that the dominant characteristics of the study is about 50 percent of the households and setting the error margin on estimating the parameters at 5 percent, then at 95 percent confidence level.
Accordingly, a total of 175 EAs were selected from the NMS, 106 in rural and 69 urban areas to represent all Zanzibar labour force population. From the listed households, 32 households were selected without replacement from each selected EA. With respect to the time use module, eight households were selected per EA and a total of 5,600 households are covered, where 3,392 were from rural areas and 2,208 from urban areas.
Response Rate
Not included in the report.
Weighting
Cluster weights were computed and were used for estimating different parameters in the 2006 integrated labour force survey. Appendix 1 gives the sampling weights for the selected clusters.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2006-01-01 | 2006-12-31 | 12 months |
Data Collection Mode
Face-to-face [f2f]
Supervision
For proper planning, implementation and coordination of ILFS activities, a Technical Committee was set up. It comprised representatives from social partners in labour matters and an array of other stakeholders. The Committee was responsible to provide technical support and general policy guidelines in order to ensure adequacy in and timely implementation process.
At a field work stage, there were three levels of supervision including field, districts and national supervision. The major role of supervisors was to ensure that the interviews are properly administered and deal with field problems faced by the enumerators. Furthermore, supervisors were assigned to check the quality of the data collected on the spot and ensure that the necessary corrections were made before leaving the field.
At a field work stage, there were three levels of supervision including field, districts and national supervision. The major role of supervisors was to ensure that the interviews are properly administered and deal with field problems faced by the enumerators. Furthermore, supervisors were assigned to check the quality of the data collected on the spot and ensure that the necessary corrections were made before leaving the field.
Data Collection Notes
Data collection for the 2006 ILFS was started in January 2006 and continued for twelve months to December 2006. Data for the first quarter were collected within three months. Well trained field enumerators were distributed to the designated and selected EAs close to their localities (where they normally reside). The enumerators were equipped with all necessary field tools such as questionnaires, instruction manuals and other field materials including means of transport.
The field exercise went concurrently with Information Education and Communication to the communities through meetings with Shehia leaders, media, leaflets, T-shirts and the like, in order for the respondents to appreciate the exercise. The ultimate objective was to mobilize the respondents to provide the required information correctly and with ease.
The field exercise went concurrently with Information Education and Communication to the communities through meetings with Shehia leaders, media, leaflets, T-shirts and the like, in order for the respondents to appreciate the exercise. The ultimate objective was to mobilize the respondents to provide the required information correctly and with ease.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Office of Chief the Government Statistician | OCGS | Ministry of Finance and Planning |
Questionnaires
Questionnaires
The questionnaires used in data collection were classified into modules i.e. Labour force questionnaire (LFS 1 and LFS 2), child labour questionnaires (CLS 1 and CLS 2 aged 5 -17) and time use questionnaire (TUS). The variables on which data were collected using respective questionnaires were as follows:-
- LFS 1: List of usual residents and visitors, Household economic activity, Household amenities and community services.
- LFS 2: Usually household members' economic activity, Currently activity, Unemployment, Main economic activity, Informal sector (main) and Informal sector (secondary), Hours worked, Income.
- CLS 1: Addressed to parents or guardians.
- CLS 2: Addressed to children themselves, School attendance, Health and safety, Perception of a child on work, Working relation and condition for employed children.
- LFS 1: List of usual residents and visitors, Household economic activity, Household amenities and community services.
- LFS 2: Usually household members' economic activity, Currently activity, Unemployment, Main economic activity, Informal sector (main) and Informal sector (secondary), Hours worked, Income.
- CLS 1: Addressed to parents or guardians.
- CLS 2: Addressed to children themselves, School attendance, Health and safety, Perception of a child on work, Working relation and condition for employed children.
Data Processing
Data Editing
Data processing involved two stages namely:
a) Manual processing, involved manual editing and coding of questionnaires.
b) Machine processing, entailed code validation, consistency checks and tabulation.
a) Manual processing, involved manual editing and coding of questionnaires.
b) Machine processing, entailed code validation, consistency checks and tabulation.
Other Processing
The data entry was done with computer using CSpro software, and then the entered data exported to SPSS for table production. Finally, computer data validation checks were carried out to ensure that there were no errors at all. Based on the agreed tabulation plan, the required tables were then produced for analysis and report preparation.
Data Appraisal
Estimates of Sampling Error
In order to assess the accuracy of the estimated population parameters sampling errors were computed. Since the sample was obtained using two stage sampling, the variance expression will contain the component for the primary stage and the other one for the secondary stage. The primary stage unit was EA while the second stage unit was a household. Using the expressions in Cochran (1977).
The sampling errors for the population estimates are obtained by taking the positive square roots of the estimates of variance. The coefficients of variations are obtained by dividing the estimates by their standard errors.
The sampling errors for the population estimates are obtained by taking the positive square roots of the estimates of variance. The coefficients of variations are obtained by dividing the estimates by their standard errors.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Head of Data Management Division | Office of Chief Government Statisticians | abdulla.makame@ocgs.go.tz | www.ocgs.go.tz |
Confidentiality
Confidentiality: Confidentiality of respondent guaranteed under Statistical Act No. 9 of 2007
The Chief Government Statistician may disclose information in the form of individual statistical records solely for bona fide research or statistical purposes provided that:-
(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.
Access conditions
OCGS considered three levels of accessibility:
1) Public use files, accessible by all
2) Licensed datasets, accessible under certain conditions
3) Datasets only accessible on location, for certain datasets
Any person or organization to whom any statistical records are disclosed shall: -
(a) not attempt to identify any particular person or undertaking or business;
(b) use the information for research or statistical purposes only;
(c) not disclose the information to any other person or organization;
1) Public use files, accessible by all
2) Licensed datasets, accessible under certain conditions
3) Datasets only accessible on location, for certain datasets
Any person or organization to whom any statistical records are disclosed shall: -
(a) not attempt to identify any particular person or undertaking or business;
(b) use the information for research or statistical purposes only;
(c) not disclose the information to any other person or organization;
Citation requirements
"Office of the Chief Government Statisticians, The 2006 Integrated Labour Force Survey (2006\ILFS), Version 1.0 of the public use dataset (September 2006), provided by the National Data Archive. www.ocgs.go.tz"
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Chief Government Statistician | Office of the Chief Government Statistician | zanztat@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) 2006, The Office of Chief Government Statistician
Metadata production
DDI Document ID
DDI-TZA-2006-ILFS-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
2023-10-12
DDI Document version
Version 1.0