Transport Indicator Database Survey 2012
Second Round
Ghana, 2012
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Reference ID
GHA-GSS-TIDS-2012-v1.0
Producer(s)
Ghana Statistical Service (GSS)
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Metadata
Created on
Sep 12, 2014
Last modified
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Identification
Survey ID Number
GHA-GSS-TIDS-2012-v1.0
Title
Transport Indicator Database Survey 2012
Subtitle
Second Round
Translated Title
No translation
Country
| Name | Country code |
|---|---|
| Ghana | GHA |
Study type
Other Household Survey [hh/oth]
Series Information
Transport Indicator Database Survey was implemented first in Ghana in the year 2007. The second in the series was in the year 2012. This is a household based survey. The survey collects demographic, education, health, economic activity, acc
Abstract
The efficient development, maintenance and administration of transport infrastructure and services are critical to the socio-economic development of any country. Scarce government resources and support from donor funds are required to provide these essential services to all sectors for the economic development of the country and for attaining equity and the participation of the populace in the creation of wealth and reduction of poverty.
To ascertain the effectiveness of implementation of policies and development programs, for transport related infrastructure and services key performance indicators are required. The data for developing these performance indicators must be collected on a sustainable basis by the various sectors for collation and analysis. Although most of the relevant basic data exist in many establishments, these are often scattered and are not collated nor disseminated in any structured manner. The Transportation sector is no exception. A recent study of the Ghana Road Sub-sector Programme finds that there is an urgent need to reinforce the monitoring system of MRT as performance indicators have only partially been collected and used; the road condition mix is monitored on an annual basis while other basic performance indicators are lacking. A good monitoring system will help improve the policy formulation within the sub-sector while its absence may result in a major fund funding reduction because the contribution to national development objectives, such as poverty alleviation, cannot be substantiated and demonstrated.
Objectives of survey
The development objective of the TSPS-II as defined in the Ghana Poverty Reduction Strategy (GPRS), to sustain economic growth through the provision of safe, reliable, efficient and affordable services for all transport users. The focus of the transport sector under the GPRS is to provide access through better distribution of the transport network with special emphasis on high poverty areas in order to reduce transport disparities between the urban and rural communities. The household survey is a component of a bigger programme which will serve as a reliable and sustainable one-stop shop for all the data and performance indicators for the transport sector. The immediate objective of the sub-component is to improve the effectiveness of implementation of policies and development programmes for the transport sector, including related infrastructure and services.
The direct aim of the sub-component will be the collection, processing, analysis, documentation and dissemination of transport related data, which will be useful for:
1. Transport planning and policy formulation;
2. Impact assessment, monitoring and evaluation of policies and programmes;
3. Measuring the contribution of the transport to the achievement of MDGs;
4. Impact assessment of the transport sector on poverty alleviation and the general standard of living;
5. Comparisons of performance of the transport sector over time and between countries for the purpose of drawing lessons and giving an indication of where interventions are necessary;
6. Provision of a comprehensive database for justification of programmes and projects under the Multi-Donor Budgetary Support (MDBS).
To ascertain the effectiveness of implementation of policies and development programs, for transport related infrastructure and services key performance indicators are required. The data for developing these performance indicators must be collected on a sustainable basis by the various sectors for collation and analysis. Although most of the relevant basic data exist in many establishments, these are often scattered and are not collated nor disseminated in any structured manner. The Transportation sector is no exception. A recent study of the Ghana Road Sub-sector Programme finds that there is an urgent need to reinforce the monitoring system of MRT as performance indicators have only partially been collected and used; the road condition mix is monitored on an annual basis while other basic performance indicators are lacking. A good monitoring system will help improve the policy formulation within the sub-sector while its absence may result in a major fund funding reduction because the contribution to national development objectives, such as poverty alleviation, cannot be substantiated and demonstrated.
Objectives of survey
The development objective of the TSPS-II as defined in the Ghana Poverty Reduction Strategy (GPRS), to sustain economic growth through the provision of safe, reliable, efficient and affordable services for all transport users. The focus of the transport sector under the GPRS is to provide access through better distribution of the transport network with special emphasis on high poverty areas in order to reduce transport disparities between the urban and rural communities. The household survey is a component of a bigger programme which will serve as a reliable and sustainable one-stop shop for all the data and performance indicators for the transport sector. The immediate objective of the sub-component is to improve the effectiveness of implementation of policies and development programmes for the transport sector, including related infrastructure and services.
The direct aim of the sub-component will be the collection, processing, analysis, documentation and dissemination of transport related data, which will be useful for:
1. Transport planning and policy formulation;
2. Impact assessment, monitoring and evaluation of policies and programmes;
3. Measuring the contribution of the transport to the achievement of MDGs;
4. Impact assessment of the transport sector on poverty alleviation and the general standard of living;
5. Comparisons of performance of the transport sector over time and between countries for the purpose of drawing lessons and giving an indication of where interventions are necessary;
6. Provision of a comprehensive database for justification of programmes and projects under the Multi-Donor Budgetary Support (MDBS).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household and Individual
Version
Version Description
Version 1.0 (September, 2014)
Version Date
2013-09
Scope
Notes
The Transport Indicator Database Survey (TIDS) 2012 is a household based survey.
The questionnaire is made up of various sections:
Section A: Household roster - Characteristics of individuals in the household with regards to their sex, age, relationship to household head etc
Section B: Education - Educational background of the individuals in the household
Section C: Health- Characteristics of the health status of individuals for four weeks preceeding survey
Section D: Economic Activity-characteristics are sought for individuals 7 years and older
Section E: Transport -Individual - For 6 years and older
Section F: Transport - Household
Section G: Access to market
The questionnaire is made up of various sections:
Section A: Household roster - Characteristics of individuals in the household with regards to their sex, age, relationship to household head etc
Section B: Education - Educational background of the individuals in the household
Section C: Health- Characteristics of the health status of individuals for four weeks preceeding survey
Section D: Economic Activity-characteristics are sought for individuals 7 years and older
Section E: Transport -Individual - For 6 years and older
Section F: Transport - Household
Section G: Access to market
Topics
| Topic | Vocabulary |
|---|---|
| Education | World Bank |
| Health | World Bank |
| Transport | World Bank |
| Access to Markets | Ghana |
| Economic Activity | Ghana |
Coverage
Geographic Coverage
National level Region Level
Geographic Unit
Reqion
Universe
The survey covered all household members (Usual residents)
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Ghana Statistical Service (GSS) | Ghana Government |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Transport | Ghana Government | Technical Assistance in questionnaire design, data collection data analysis |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| European Union | EU | Funding |
| Ministry of Roads and Highways | MoRH | Funding |
| Ministry of Transport | MoT | Funding |
Sampling
Sampling Procedure
The sample was representative of all households in Ghana. To achieve the study objectives, the sample size chosen was based on the type of variables under consideration, the required precision of the survey estimates and available resources.
Taking all of these into consideration, a sample size of 6,000 households was deemed sufficient to achieve the survey objectives. This was enough to yield reliable estimates of all the important survey variables as well as being manageable to control and minimize non-sampling errors.
Stratification and Sample Selection Procedures
The total list of the Enumeration Areas (EAs) from the demarcation for the 2010 Population and Housing Census formed the sampling frame for the Phase II of the Transport Indicators Survey.
The sampling frame was stratified into urban/rural residence and the 10 administrative regions of the country for the selection of the sample. The sample was selected in two stages.
The first stage selection involved the systematic selection of 400 EAs with probability proportional to size, the measure of size being the number of households in each EA.
The second stage selection involved the systematic selection of 15 households from each EA. See Appendix A for more details on the sample design.
Taking all of these into consideration, a sample size of 6,000 households was deemed sufficient to achieve the survey objectives. This was enough to yield reliable estimates of all the important survey variables as well as being manageable to control and minimize non-sampling errors.
Stratification and Sample Selection Procedures
The total list of the Enumeration Areas (EAs) from the demarcation for the 2010 Population and Housing Census formed the sampling frame for the Phase II of the Transport Indicators Survey.
The sampling frame was stratified into urban/rural residence and the 10 administrative regions of the country for the selection of the sample. The sample was selected in two stages.
The first stage selection involved the systematic selection of 400 EAs with probability proportional to size, the measure of size being the number of households in each EA.
The second stage selection involved the systematic selection of 15 households from each EA. See Appendix A for more details on the sample design.
Deviations from the Sample Design
No deviations
Response Rate
National:
(5996/6000)*100=99.93%
By Regions:
Western=99.8%
Central= 100.0%
Greater Accra= 100.0%
Volta = 99.5%
Eastern=100.0%
Ashanti = 100.0%
Brong Ahafo = 100.0%
Northern = 100.0%
Upper East = 100.0%
Upper West = 100.0%
Region Hhs completed Hhs Expected Response rate
Western 569 570 99.8
Central 510 510 100.0
Greater Accra 855 855 100.0
Volta 567 570 99.5
Eastern 705 705 100.0
Ashanti 1,125 1,125 100.0
Brong Ahafo 585 585 100.0
Northern 615 615 100.0
Upper East 285 285 100.0
Upper West 180 180 100.0
Total 5,996 6,000 99.9
Causes of non response
Region
Result of Interview Western Volta Total
Refused 1 0 1
No HHold Member at Home 0 2 2
Other 0 1 1
Total 1 3 4
(5996/6000)*100=99.93%
By Regions:
Western=99.8%
Central= 100.0%
Greater Accra= 100.0%
Volta = 99.5%
Eastern=100.0%
Ashanti = 100.0%
Brong Ahafo = 100.0%
Northern = 100.0%
Upper East = 100.0%
Upper West = 100.0%
Region Hhs completed Hhs Expected Response rate
Western 569 570 99.8
Central 510 510 100.0
Greater Accra 855 855 100.0
Volta 567 570 99.5
Eastern 705 705 100.0
Ashanti 1,125 1,125 100.0
Brong Ahafo 585 585 100.0
Northern 615 615 100.0
Upper East 285 285 100.0
Upper West 180 180 100.0
Total 5,996 6,000 99.9
Causes of non response
Region
Result of Interview Western Volta Total
Refused 1 0 1
No HHold Member at Home 0 2 2
Other 0 1 1
Total 1 3 4
Weighting
The weight variable used in the data sewt was weight
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2012-09-01 | 2012-12-31 | 3 Months |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2007 | 2012 | 5 years |
Data Collection Mode
Face-to-face [f2f]
Supervision
Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 4 interviewers, a supervisor and a driver. Each team used a 4 wheel drive vehicle to travel from cluster to cluster (and where necessary within cluster).
Supervisors played an important role in ensuring the quality of data being collected. Among other things, the Supervisor:
(i) Review each questionnaire to be sure it is complete and internally consistent;
(ii) Helped to solve any problem in locating the listed households;
(iii) Helped the interviewers to understand the concepts in the questionnaire or interviewing difficult respondents.
The supervisor coordinated the field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinated with local authorities concerning the survey plan and made arrangements for accommodation and travel. Additionally, the field supervisor assigned work to the interviewers, spot checked the work interviewers did, maintained field control forms, and sent completed questionnaires and progress reports to the project secretariat at the head office.
Responsibilities of the supervisors were described in the Supervisors' manual together with the different field controls that were in place to control the quality of fieldwork.
Field visits were also made by a team of staff from the project secretariat on regular basis during the fieldwork.
Supervisors played an important role in ensuring the quality of data being collected. Among other things, the Supervisor:
(i) Review each questionnaire to be sure it is complete and internally consistent;
(ii) Helped to solve any problem in locating the listed households;
(iii) Helped the interviewers to understand the concepts in the questionnaire or interviewing difficult respondents.
The supervisor coordinated the field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinated with local authorities concerning the survey plan and made arrangements for accommodation and travel. Additionally, the field supervisor assigned work to the interviewers, spot checked the work interviewers did, maintained field control forms, and sent completed questionnaires and progress reports to the project secretariat at the head office.
Responsibilities of the supervisors were described in the Supervisors' manual together with the different field controls that were in place to control the quality of fieldwork.
Field visits were also made by a team of staff from the project secretariat on regular basis during the fieldwork.
Data Collection Notes
Training of enumerators and supervisors held for two weeks
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Ghana Statistical Service | GSS | Ghana Government |
Questionnaires
Questionnaires
The questionnaire had the following sections:
Section A: a household roster which collected basic information on all households members and household characteristics to determine eligible household members
Section B: an education section which was administered to household members aged 3 years and older on the use of transport services to school
Section C: a health section that was used to collect information on all household members on access and the use of transport services to health facilities
Section D: an economic activity section administered to household members 7 years and older to collect information on their economic activities and the use of transport services a market access section administered to household members engaged in agricultural activities to collect information on access to transport services for sale of farm produce
Section E: a general transport services section administered to all household members on the access and use of various modes of transport.
Section F: a general transport services section administered to all households and use of various modes of transport.
Section A: a household roster which collected basic information on all households members and household characteristics to determine eligible household members
Section B: an education section which was administered to household members aged 3 years and older on the use of transport services to school
Section C: a health section that was used to collect information on all household members on access and the use of transport services to health facilities
Section D: an economic activity section administered to household members 7 years and older to collect information on their economic activities and the use of transport services a market access section administered to household members engaged in agricultural activities to collect information on access to transport services for sale of farm produce
Section E: a general transport services section administered to all household members on the access and use of various modes of transport.
Section F: a general transport services section administered to all households and use of various modes of transport.
Data Processing
Data Editing
Control mechanisms were inbuilt in the data capturing application. Range checks and skip patterns were incorporated into the data capturing application.
Partial double entry was done in order to compare and correct errors. After data capture secondary editng was done in the form of consistency checks.
CSPro 4.1 was used to capture the data.
Partial double entry was done in order to compare and correct errors. After data capture secondary editng was done in the form of consistency checks.
CSPro 4.1 was used to capture the data.
Other Processing
Softeware used to capture data was CSPro Ver4.1. The ascii data was then exported to SPSS.
Data Appraisal
Estimates of Sampling Error
Sample errors was calculated but not in the report.
Data Appraisal
No other forms of data appraisal
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Government Statistician (Ghana Statistical Service) | Government of Ghana | info@statsghana.gov.gh | Link |
Confidentiality
Ghana Statistical Service (GSS) requires all users to keep information and microdata strictly confidential. In this regard, before being granted access to microdatasets, all users have to formally agree to observe the following:
1. Not to make copies of any files or portions of files to which access has been granted except with the authorization by GSS.
2. Not to willfully identify any individual or household or establishment in the microdataset.
3. To hold in strictest confidence, the identity of any individual or household or establishment that may be inadvertently revealed in any documents or discussion, or analysis. Such unintended
identification revealed should be immediately brought to the attention of GSS.
4. Microdata obtained from GSS are protected by copyright law and therefore not for re-distribution or sale.
5. Prospective clients or data users may be required to submit and sign an affidavit of confidentiality of microdata they access.
Access conditions
The Ghana Statistical Service as a public institution has the obligation to promote data dissemination to facilitate national development. Making microdata available will enable students and the academia to conduct research works, assist investors to take business decision, help the individual to evaluate and take appropriate decisions. It will also assist the government to formulate appropriate policies and programmes to facilitate national development. GSS' policy framework provides access to data through:
1. Public use files. These categories of data sets are accessible by all without any payment. They are available on-line to all interested users, for research and statistical purposes only.
2. Licensed datasets. These categories of data sets are accessible under certain conditions. Thus, prospective clients/data users may access any data based on certain conditions set by the GSS
3. Datasets only accessible on location. We consider this category as a data enclave where some data sets are only accessible at GSS offices and prospective data users and researches have to physically be available at GSS offices for further discussions before data are released. Thus, data enclave would not be linked to the outside world through our web site or other medium.
The following terms and conditions apply:
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files for which access has been granted, except those authorized by GSS.
2. Not to use any technique in an attempt to identify any person, establishment, or sampling unit.
3. To hold in strictest confidence, the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent
identification revealed in her/his analysis will be immediately brought to the attention of the GSS.
4. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of GSS.
5. The data will be used for statistical and scientific research purposes only.
6. The data will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
7. No attempt will be made to identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the GSS.
8. No attempt will be made to produce links among datasets provided by the GSS with other datasets that could identify individuals or organizations.
9. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the GSS would cite the source of data in accordance with the citation statement provided with the dataset
10. An electronic copy of all reports and publications based on the requested data will be sent to the GSS.
1. Public use files. These categories of data sets are accessible by all without any payment. They are available on-line to all interested users, for research and statistical purposes only.
2. Licensed datasets. These categories of data sets are accessible under certain conditions. Thus, prospective clients/data users may access any data based on certain conditions set by the GSS
3. Datasets only accessible on location. We consider this category as a data enclave where some data sets are only accessible at GSS offices and prospective data users and researches have to physically be available at GSS offices for further discussions before data are released. Thus, data enclave would not be linked to the outside world through our web site or other medium.
The following terms and conditions apply:
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files for which access has been granted, except those authorized by GSS.
2. Not to use any technique in an attempt to identify any person, establishment, or sampling unit.
3. To hold in strictest confidence, the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent
identification revealed in her/his analysis will be immediately brought to the attention of the GSS.
4. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of GSS.
5. The data will be used for statistical and scientific research purposes only.
6. The data will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
7. No attempt will be made to identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the GSS.
8. No attempt will be made to produce links among datasets provided by the GSS with other datasets that could identify individuals or organizations.
9. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the GSS would cite the source of data in accordance with the citation statement provided with the dataset
10. An electronic copy of all reports and publications based on the requested data will be sent to the GSS.
Citation requirements
Ghana Statistical Service, Transport Indicator Database Survey 2012 (TIDS 2012), Version1.0 of the public use datasset (September, 2014), provided by the National Data Archive.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Government Statistician | Government of Ghana | info@statsghana.gov.gh | www.statsghana.gov.gh/ContactUs.html |
Disclaimer and copyrights
Disclaimer
The original collector of the data, GSS and any producers or sponsors cited in this document bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright
(c) 2014, Ghana Statistical Service
Metadata production
DDI Document ID
DDI-GHA-GSS-TIDS-2012-v1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Ghana Statistical Service | GSS | Government of Ghana | Documentation of the study |
Date of Metadata Production
2014-09-12
DDI Document version
Version 1.0 (September, 2014)