National Baseline Household Survey 2009
South Sudan, 2009
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Identification
Survey ID Number
SSD_2009_NBHS_v01_M
Title
National Baseline Household Survey 2009
Subtitle
First Round
Country
| Name | Country code |
|---|---|
| South Sudan | SSD |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
The National Baseline Household Survey 2009 (NBHS) is the second national sample survey designed to provide information for all Sudan after the peace agreement in 2005. The Southern Sudan Commission for Census, Statistics and Evaluation (SSCCSE) was responsible for conducting the survey in all 10 states of Southern Sudan. The survey took place in March/April 2009. In December 2008 SSCCSE did a pilot in Torit, Eastern Equatoria State
The NBHS involved random sampling, 528 households were interviewed in every state.
Accurate, up-to-date, and relevant data from household surveys are essential for governments to make sound economic and social policy decisions. Thus, the Government of Southern Sudan need the data from the NBHS to measure and monitor poverty, employment and unemployment, school enrollment, nutritional status, housing conditions, and other dimensions of living standards. They need the data to determine whether food, drinking water, schools, agriculture, services, roads, electric power, and other basic services are reaching the poor and other disadvantaged. Additionally analysts need household survey data to model economic behavior and thus provide answers to such important policy issues as mentioned above.
This survey is considered the First Round, other rounds will follow later after two or five years depending on what Ministry of Ministry Finance and Economic Planning will agreed up on.
The NBHS involved random sampling, 528 households were interviewed in every state.
Accurate, up-to-date, and relevant data from household surveys are essential for governments to make sound economic and social policy decisions. Thus, the Government of Southern Sudan need the data from the NBHS to measure and monitor poverty, employment and unemployment, school enrollment, nutritional status, housing conditions, and other dimensions of living standards. They need the data to determine whether food, drinking water, schools, agriculture, services, roads, electric power, and other basic services are reaching the poor and other disadvantaged. Additionally analysts need household survey data to model economic behavior and thus provide answers to such important policy issues as mentioned above.
This survey is considered the First Round, other rounds will follow later after two or five years depending on what Ministry of Ministry Finance and Economic Planning will agreed up on.
Abstract
The primary purpose of the survey is to facilitate the estimation of poverty prevalence, and a study of the nature of poverty, in Southern Sudan. Briefly, analysis of the survey results should be able to tell us the proportion of Southern Sudan's population that lives below the poverty line, the spatial pattern of distribution of poverty across states and regions, and the manner in which poverty affects different aspects of the lives of poor people.
An additional purpose of the survey is to enable analysts to compute weights for the basket of commodities for each state so that a Consumer Price Index may be calculated for each state in the future. Thus far, CPI has only been calculated for five cities - Juba, Wau, Rumbek, Torit and Malakal. The CPI helps track price movements month-to-month and is useful for inflation targeting.
In addition to the above purposes, an important aspect for the use of the data is to enable other stake-holders in Southern Sudan including GoSS ministries, UN agencies, NGOs and researchers to carry out in-depth analysis of particular aspects of the data which are of interest to them. For example, we expect the survey to yield high-quality baseline information on labor force and agriculture to fill in these crucial data-gaps till full-fledged surveys can be held on these subjects.
An additional purpose of the survey is to enable analysts to compute weights for the basket of commodities for each state so that a Consumer Price Index may be calculated for each state in the future. Thus far, CPI has only been calculated for five cities - Juba, Wau, Rumbek, Torit and Malakal. The CPI helps track price movements month-to-month and is useful for inflation targeting.
In addition to the above purposes, an important aspect for the use of the data is to enable other stake-holders in Southern Sudan including GoSS ministries, UN agencies, NGOs and researchers to carry out in-depth analysis of particular aspects of the data which are of interest to them. For example, we expect the survey to yield high-quality baseline information on labor force and agriculture to fill in these crucial data-gaps till full-fledged surveys can be held on these subjects.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households and individuals
Version
Version Description
v01
Version Date
2009-04-01
Scope
Notes
- Interview Particulars
- Location Characteristics
- Household Migration Characteristics
- Questionnaire Logistics
- Household Demographic Characteristics
- Education (age 6 years and above)
- Activities/ Work (age 6 years and above)
- Children Less Than 5 Years Old - Height and Weight
- Children 12-24 Months Old - Immunization
- Housing
- Livelihood and Assets
- Household Health
- Economic Transfers
- Cash, Credit, Savings and Shocks
- Household Consumption Expenditure
- Agriculture (Crop Plot, Crop Harvest)
- Location Characteristics
- Household Migration Characteristics
- Questionnaire Logistics
- Household Demographic Characteristics
- Education (age 6 years and above)
- Activities/ Work (age 6 years and above)
- Children Less Than 5 Years Old - Height and Weight
- Children 12-24 Months Old - Immunization
- Housing
- Livelihood and Assets
- Household Health
- Economic Transfers
- Cash, Credit, Savings and Shocks
- Household Consumption Expenditure
- Agriculture (Crop Plot, Crop Harvest)
Topics
Keywords
| Keyword | Vocabulary |
|---|---|
| Poverty | people receiving less than 2400 kcal per day plus a minimal non-food allowance |
| Millenimum Indicators | Millenimum Development Goals |
Coverage
Geographic Coverage
The National Baseline Household Survey (NBHS) 2009 is a National Coverage, the sample covers the Ten States of Southern Sudan. The Data allowed comparison across Regions, States and a Urban / Rural split. In all the Ten States, all Counties were covered in the sample which gives a complete representation of the population of Southern Sudan. Replacements were done for those EAs that were under insecurity like the case in Jonglei and Western Equatoria State. One EA was replaced in Central Equatoria State was replace due demolition.
Geographic Unit
Households and individuals
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Southern Sudan Center for Census, Statistics and Evaluation | Presidential Affairs |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Statistics Norway | Government of Norway | Technical Assistance in Questionnaires Design, Scanning and Data processing |
| United Nations Infant and Children Education Funds | United Nations | Technical Assistance in Anthropometric Training |
| Food and Agriculture Organization of the United Nations | United Nations | Technical Assistance in Food Security Data Analysis |
| United Nations Development Programs | United Nations | Technical Assistance in Poverty Report Publication |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| African Development Bank | AfDB | Main donor |
| Statistics Norway | SN | Data Processing |
| United Nations Development Program | UNDP | Provission of Fund for Survey logistics and publication of the Poverty report |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| African Development Bank | Main donor | |
| Statistics Norway | Government of Norway | Questionnaire Design and Data Processing |
| United Nations Development Programs | United Nations | Provision of Fund for Survey logistics and publication of the Poverty report |
| United Nations Infant and Children Education Funds | United Nations | Training of Anthropometric and Provision of Anthropometric Equipments |
| Directory of Nurition | Ministry of Health | Provided Anthropometrist |
| Government of Southern Sudan | Implemented the Survey |
Sampling
Sampling Procedure
The Sample selected for the 2009 National baseline Household Survey (NBHS) was based on a stratified two stage Sampled Design. The Sampling frame was based on 2008 Sudan Census preliminary count of Household by Enumeration Areas (EAs) and the Census Cartography. The Primary Sample Units (PSUs) was EAs which were Census operational segments indentified on maps, with an average of 184 households in Urban and 136 Household in Rural areas.
For the NBHS, the Census EAs were stratified by State, Urban and Rural Areas. At the second sampling stage, households were selected from the listing in each sampled EA. The Sample Size was determined for obtaining reliable estimates for key survey indicators at State level, and for Urban and Rural domains at the National level.
A sample of 44 EAs was selected at the first sampling stage for each of the Ten States of Southern Sudan, and at the second stage, 12 households were selected from the listing of each sampled EA. Therefore 528 households per State were selected which total to a sample size of 5280 households for Southern Sudan.
Given the above, only 15.2% of the households in Southern Sudan were classified as Urban, a higher first stage sampling rates was used for the Urban Stratum of each State in order to improve the precision of Unban estimates at the National level.
For the NBHS, the Census EAs were stratified by State, Urban and Rural Areas. At the second sampling stage, households were selected from the listing in each sampled EA. The Sample Size was determined for obtaining reliable estimates for key survey indicators at State level, and for Urban and Rural domains at the National level.
A sample of 44 EAs was selected at the first sampling stage for each of the Ten States of Southern Sudan, and at the second stage, 12 households were selected from the listing of each sampled EA. Therefore 528 households per State were selected which total to a sample size of 5280 households for Southern Sudan.
Given the above, only 15.2% of the households in Southern Sudan were classified as Urban, a higher first stage sampling rates was used for the Urban Stratum of each State in order to improve the precision of Unban estimates at the National level.
Deviations from the Sample Design
During the survey, derivation from sample design occurred in Western Equatoria and Jonglei State. These were caused by insecurity in these States. In Central Equatoria, one EA was demolished which force the survey team to replace that EA.
Response Rate
The response rate for this study 100 percent.
Weighting
The sample was stratified by region. Variable "hhweight" was used to weight records at the household level.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2009-04-01 | 2009-05-16 | 6 - 7 weeks |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2009 | 2010 | 5 years |
Data Collection Mode
Face-to-face [f2f]
Supervision
The Survey Structure was as follows,
Each state had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator.
The role of Superviors was to:
·Coordination and team management of teams in the field
·Reading EA maps
·Supervision of listing and sampling
·Allocation of households to enumerators
·Handling cases of missing households/non-response of households in the sample
·Regular coordination with State HQ
·Daily quality-check on questionnaires and all work being done by the team
·Overall responsibility for field equipment issued to team
The role of the Enumerators was:
·Scheduling of interview with household, explanation of the purpose of the survey
·Interviewing selected households as assigned by supervisor
·Listing of households on Day One in each EA
·Daily reporting and questionnaire submission to supervisor
·Responsibility for field equipment handed to them personally
During the Survey Sothern Sudan Center for Census, Statistics and Evaluation Centeral Staff were deployed to each of the Ten States as State Cordinators; the Cordinators were assigned the task of technical assistance to the field world staff.
Responsibilities
.To coordinate with State Field Operations Manager in all activities, including but not limited to, logistical, as required for the successful completion of NBHS 2009.
.To collect, and account for, with documentation, all field materials being distributed to field staff
·To receive regular updates from the field teams deployed in the State
·To clarify any technical issues arising in the field (for example in listing/questionnaire administration) with an impact on survey administration. In the event, the issue is not clear to the Coordinator; he/she must clarify the issue with HQ staff on an urgent basis.
·To communicate regularly with SSCCSE HQ Coordination team on the progress of fieldwork in the State. It is also their responsibility to flag any emerging/existing issues in survey implementation and administration.
·To be the Liaison Officer from the Headquarters in case of any field emergency requiring urgent action and possibly expenditure. Emergency expenditure above SDG xxxx must be approved by HQ Coordination staff.
·To collect, and account for personally with documentation, all questionnaires and listing forms.
·To personally take charge of the field instruments (questionnaires and listing forms) and bring them back to SSCCSE HQ for accounting and data entry
·To coordinate with responsible State SSCCSE officials on despatch of money to the States and disbursement of money to field staff and for other fieldwork activities.
·To periodically visit, as possible logistically, teams in the field to monitor progress and survey administration first-hand.
·In all the above activities, with the exception of communication with HQ, the HQ Coordinator will work in collaboration with the relevant State Officials including the State Statistical Director and the State Field Operations Manager.
The HQ Coordinators will be drawn out of the pool of current staff members at the SSCCSE Head Office in Juba. They will ideally be experienced in fieldwork, logistics and training from Census Operations as also having been trained in the questionnaire of the NBHS.
Each state had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator.
The role of Superviors was to:
·Coordination and team management of teams in the field
·Reading EA maps
·Supervision of listing and sampling
·Allocation of households to enumerators
·Handling cases of missing households/non-response of households in the sample
·Regular coordination with State HQ
·Daily quality-check on questionnaires and all work being done by the team
·Overall responsibility for field equipment issued to team
The role of the Enumerators was:
·Scheduling of interview with household, explanation of the purpose of the survey
·Interviewing selected households as assigned by supervisor
·Listing of households on Day One in each EA
·Daily reporting and questionnaire submission to supervisor
·Responsibility for field equipment handed to them personally
During the Survey Sothern Sudan Center for Census, Statistics and Evaluation Centeral Staff were deployed to each of the Ten States as State Cordinators; the Cordinators were assigned the task of technical assistance to the field world staff.
Responsibilities
.To coordinate with State Field Operations Manager in all activities, including but not limited to, logistical, as required for the successful completion of NBHS 2009.
.To collect, and account for, with documentation, all field materials being distributed to field staff
·To receive regular updates from the field teams deployed in the State
·To clarify any technical issues arising in the field (for example in listing/questionnaire administration) with an impact on survey administration. In the event, the issue is not clear to the Coordinator; he/she must clarify the issue with HQ staff on an urgent basis.
·To communicate regularly with SSCCSE HQ Coordination team on the progress of fieldwork in the State. It is also their responsibility to flag any emerging/existing issues in survey implementation and administration.
·To be the Liaison Officer from the Headquarters in case of any field emergency requiring urgent action and possibly expenditure. Emergency expenditure above SDG xxxx must be approved by HQ Coordination staff.
·To collect, and account for personally with documentation, all questionnaires and listing forms.
·To personally take charge of the field instruments (questionnaires and listing forms) and bring them back to SSCCSE HQ for accounting and data entry
·To coordinate with responsible State SSCCSE officials on despatch of money to the States and disbursement of money to field staff and for other fieldwork activities.
·To periodically visit, as possible logistically, teams in the field to monitor progress and survey administration first-hand.
·In all the above activities, with the exception of communication with HQ, the HQ Coordinator will work in collaboration with the relevant State Officials including the State Statistical Director and the State Field Operations Manager.
The HQ Coordinators will be drawn out of the pool of current staff members at the SSCCSE Head Office in Juba. They will ideally be experienced in fieldwork, logistics and training from Census Operations as also having been trained in the questionnaire of the NBHS.
Data Collection Notes
Training for the survey was carried out in March 2009 and the fieldwork in April-May 2009 over a course of 6-7 weeks. In Southern Sudan, training was carried out for a period of two weeks in four regional centres:
Yei – for teams from three Equatoria states and Jonglei
Wau – for teams from four states of Greater Bahr El Ghazal
Malakal – for teams from Upper Nile State
Bentiu – for teams from Unity State
Each state in Southern Sudan had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator.
Each Team in a State covered 11 EAs. Each team in an EAs covers 3 days, one day for Listing of Households, and 2 days for interview. deployement depends on the distance betwen EAs
Each Team did the first interview from models A to L which is refered to the first visit, and the second interview from model M to N in the Questionnaire and this was refered to the Second visit.
The Interviewers were instruct to use English, however, they can interpret the questionnaire in other local Language where neccessary. usually when a Household is absent after severals recall that Household is replaced to the nearest household to the right. Household that refuse to be interviewed also are replaced in the same manner.
During the Survey it was notice that, some EAs were demolished in Central Equatoria, and also insecurity in some EAs in Western Equatoria State and Jonglei State which force these EAs to be replace.
Pilot for the National Baseline Survey was done in December 2008 in Torit Town Eastern Equatoria State. a sample of three EAs were covered Malakia, Lofiri and Ofong.
Yei – for teams from three Equatoria states and Jonglei
Wau – for teams from four states of Greater Bahr El Ghazal
Malakal – for teams from Upper Nile State
Bentiu – for teams from Unity State
Each state in Southern Sudan had four field teams, each consisting of 4 enumerators, one anthropometrist, one supervisor and one driver. in addition to one Field Operation Manager and a Head Quarter Cordinator.
Each Team in a State covered 11 EAs. Each team in an EAs covers 3 days, one day for Listing of Households, and 2 days for interview. deployement depends on the distance betwen EAs
Each Team did the first interview from models A to L which is refered to the first visit, and the second interview from model M to N in the Questionnaire and this was refered to the Second visit.
The Interviewers were instruct to use English, however, they can interpret the questionnaire in other local Language where neccessary. usually when a Household is absent after severals recall that Household is replaced to the nearest household to the right. Household that refuse to be interviewed also are replaced in the same manner.
During the Survey it was notice that, some EAs were demolished in Central Equatoria, and also insecurity in some EAs in Western Equatoria State and Jonglei State which force these EAs to be replace.
Pilot for the National Baseline Survey was done in December 2008 in Torit Town Eastern Equatoria State. a sample of three EAs were covered Malakia, Lofiri and Ofong.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Southern Sudan Center for Census, Statistics and Evaluation | SSCCSE | Predential Affirs |
Questionnaires
Questionnaires
The questionnaire for the survey was designed in consultation with data users to ensure their requirements could be incorporated. A technical Working Group and a user Needs Group were set up to decide on user requirement and priorities for the survey; these group included representatives from various ministries, UN agencies and NGOs.
The questionnaire contains several modules on different themes including health, education, labor, housing, asset ownership, access to credit, economic shocks, and transfers to the household, consumption and agriculture.
A pilot questionnaire was approved by the User Needs Group on 24th November 2008. The pilot survey was carried out in December 2008, following which some changes were made to the questionnaire. Finally, after several rounds of discussion between Central Bureau of Statistics (GoNU) and SSCCSE in January and February 2009, the final questionnaire was approved in February 2009.
The questionnaire is identical in both the South and the North with the exception of two modules which were only included selectively - child malnutrition (anthropometry) in the South and income in the North.
The questionnaire contains several modules on different themes including health, education, labor, housing, asset ownership, access to credit, economic shocks, and transfers to the household, consumption and agriculture.
A pilot questionnaire was approved by the User Needs Group on 24th November 2008. The pilot survey was carried out in December 2008, following which some changes were made to the questionnaire. Finally, after several rounds of discussion between Central Bureau of Statistics (GoNU) and SSCCSE in January and February 2009, the final questionnaire was approved in February 2009.
The questionnaire is identical in both the South and the North with the exception of two modules which were only included selectively - child malnutrition (anthropometry) in the South and income in the North.
Data Processing
Data Editing
Data editing was first done manually in the field using Verification check list. Other edits were done in the office using the tif files. Edit rules were later apply using the SPSS.
Data receiving/scanner feeding responsible at data processing centre:
Check 1: Number of forms total per EA counted and protocolled
Check 2: Staples removed before scanning
Check 3: Scan 1 EA per “batch”
Check 4: Re-staple, mark as scanned and store
Scanning verification on screen:
Check 1: (must-be-filled-in-check) If no codes for a1_state to a1_house, check TIFF file for text or writings outside box and put code based on text if possible - if not type 9, 99 or 999 (MISSING) to get past the check
Check 2: (only-one-mark-allowed-check for all single response questions) If more than one mark, check TIFF file and correct if possible - if not possible to decide on correction, type 9 or 99 (to signal to SPSS professional editor)
Check 3: (valid-range-checks) If outside range, verify TIFF on screen and be sure that what is written on the form is correctly interpreted (special focus on decimal errors and possible extra zeros given when writing SDGs). If errors identified then correct on screen, if not force the initial written value through without any changes. This will be dealt with in SPSS edits.
Other detailed documentation of the editing of the data can be found in the "Data processing guidelines" the document is provided in an external resource.
Data receiving/scanner feeding responsible at data processing centre:
Check 1: Number of forms total per EA counted and protocolled
Check 2: Staples removed before scanning
Check 3: Scan 1 EA per “batch”
Check 4: Re-staple, mark as scanned and store
Scanning verification on screen:
Check 1: (must-be-filled-in-check) If no codes for a1_state to a1_house, check TIFF file for text or writings outside box and put code based on text if possible - if not type 9, 99 or 999 (MISSING) to get past the check
Check 2: (only-one-mark-allowed-check for all single response questions) If more than one mark, check TIFF file and correct if possible - if not possible to decide on correction, type 9 or 99 (to signal to SPSS professional editor)
Check 3: (valid-range-checks) If outside range, verify TIFF on screen and be sure that what is written on the form is correctly interpreted (special focus on decimal errors and possible extra zeros given when writing SDGs). If errors identified then correct on screen, if not force the initial written value through without any changes. This will be dealt with in SPSS edits.
Other detailed documentation of the editing of the data can be found in the "Data processing guidelines" the document is provided in an external resource.
Other Processing
The data was capture into a tif file (image) through scanner. Laptops were use to process the data into an SPSS.
Data Appraisal
Estimates of Sampling Error
To estimate the standard errors for NBHS indicators estimation of variance for the proportion given in the formula was used:
Vp'= Def*p (1-p)/(n-1), where:
p - Proportion for the variance estimate,
n - Sample size, and
Def - effect of sample planning for the observed group of indicators.
The standard error is the square root of Var xd'.
To calculate the variance for the whole population, the estimations of variance for the separate domains were summed.
The approximate design effect was derived from the estimation of the variance of the simple random sample, and from the estimation of the variance proposed in the ultimate cluster method. The design effect was calculated for all groups of variance and separately for all observed domains. All differences denoted as significant in the text are significant at the 95 percent confidence level, unless otherwise indicated.
Vp'= Def*p (1-p)/(n-1), where:
p - Proportion for the variance estimate,
n - Sample size, and
Def - effect of sample planning for the observed group of indicators.
The standard error is the square root of Var xd'.
To calculate the variance for the whole population, the estimations of variance for the separate domains were summed.
The approximate design effect was derived from the estimation of the variance of the simple random sample, and from the estimation of the variance proposed in the ultimate cluster method. The design effect was calculated for all groups of variance and separately for all observed domains. All differences denoted as significant in the text are significant at the 95 percent confidence level, unless otherwise indicated.
Data Appraisal
Due to lack of standardize unit of measurement, price correction factors were used to adjust the prices.
key corrections were done for abnormal quantities reported to have been consumed by Sampled Households
key corrections were done for abnormal quantities reported to have been consumed by Sampled Households
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director ICT | SSCCSE | ssccse@gmail.com | Link |
Confidentiality
Confidentiality of the respondent is guaranteed as referred to appendix A of the data dissemination policy of August 27th/2010.
Before being granted access to the dataset all users formally agreed:
- No attempt will b made to re - identify respondent and no use will be made of the identity of any person or established discovered inadvertently.
- Any such discovery must be immediately report to the Center.
- No attempt will be made to produce linked among the dataset provided by the Center or among data from the Center and other dataset that could identify individuals or organization
Access conditions
Access to these files is described in section G of the Data Dissemination Policy of 27th/August 2010
Data access agreement
The Primary Data Investigator, the Other Investigators, and the Representative of the Receiving Organization agree to comply with the following:
1. Access to the restricted data will be limited to the Primary Data Investigator and Other Investigators.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Centre
3. The data will only be processed for the stated statistical purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Centre. The identification will not be revealed to any other person not included in the Data Access Agreement.
5. The Primary Data Investigator will implement security measures to prevent unauthorized access to licensed micro data acquired from the Centre. The micro data must be destroyed upon the completion of this research, unless Centre obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the micro data will be confirmed in writing by the Primary Data Investigator to the Centre.
6. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
Data access agreement
The Primary Data Investigator, the Other Investigators, and the Representative of the Receiving Organization agree to comply with the following:
1. Access to the restricted data will be limited to the Primary Data Investigator and Other Investigators.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Centre
3. The data will only be processed for the stated statistical purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The Primary Data Investigator undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Centre. The identification will not be revealed to any other person not included in the Data Access Agreement.
5. The Primary Data Investigator will implement security measures to prevent unauthorized access to licensed micro data acquired from the Centre. The micro data must be destroyed upon the completion of this research, unless Centre obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the micro data will be confirmed in writing by the Primary Data Investigator to the Centre.
6. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
Citation requirements
The following statement must be used as citation:
"Southern Sduan Center for Census, Statistics and Evaluation" National Baseline Household Survey 2009 (NBHS), Version 1.1 of the lienced dataset (April 2010). Provided by the Southern Sudan Data Archive. http://www.ssccse.org
"Southern Sduan Center for Census, Statistics and Evaluation" National Baseline Household Survey 2009 (NBHS), Version 1.1 of the lienced dataset (April 2010). Provided by the Southern Sudan Data Archive. http://www.ssccse.org
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Southern Sudan Center for Census, Statistics and Evaluation | Presidential Affairs | ssccse@gmail.com | Link |
Disclaimer and copyrights
Disclaimer
The original collector of the data, the Centre, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inference based upon such cases.
Copyright
(c) 2010 Southern Sudan Center for Census, Statistics and Evaluation
Metadata production
DDI Document ID
DDI_SSD_2009_NBHS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Southern Sudan Center for Census, Statistics and Evaluation | SSCCSE | Presidential Affairs | Documentation of the metadata |
| Development Data Group | DECDG | Documentation of the datasets |
Date of Metadata Production
2010-10-05
DDI Document version
Version 01: Adopted from "DDI-SSD-SSCCSE-NBHS-2009-v01" DDI that was done by metadata producer mentioned in "Metadata Production" section.