Agriculture Census 2006-2008
Vanuatu, 2006 - 2008
Reference ID
VUT_2006-2008_AC_v01_EN_M_v01_A_OCS
Producer(s)
Vanuatu National Statistics Office
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Metadata
Created on
Nov 02, 2020
Last modified
Nov 02, 2020
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Identification
Survey ID Number
VUT_2006-2008_AC_v01_EN_M_v01_A_OCS
Title
Agriculture Census 2006-2008
Country
| Name | Country code |
|---|---|
| Vanuatu | VUT |
Study type
Agricultural Census [ag/census]
Series Information
This Agriculture Census was the third undertaken in Vanuatu following those in 1983 and 1993.
Abstract
The Agriculture Census 2006-2008 was the third undertaken in Vanuatu reflecting the year 2007 for the purpose of compiling information on agriculture, forestry and fisheries resources. Data collected will be used to formulate plans, policies and programs for the development and improvement of these sectors. This census was conducted by the Vanuatu National Statistics Office (VNSO), a centralized organization mainly responsible for the collection and dissemination of important statistics in the country by means of censuses of population, agriculture, household income and expenditure surveys, business surveys, collection of imports and exports data, etc. However, owing to limited resources, the VNSO cannot accommodate requests for extra data needed by other government and private sectors: hence, these data may have to be collected independently. Agricultural statistics in Vanuatu are produced in two ways: through census/ survey and through administrative records. The census/survey provides baseline or benchmark information for planners and policymakers while the data from administrative records are used to keep track of changes and development in specific aspects of agriculture.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Agricultural holdings
Scope
Notes
The scope of the census covered the following sections:
(a) HOUSEHOLDS:
• Structure and characteristics of agricultural activities of households in Vanuatu
• Number and distribution of household engaged in agriculture
• General characteristics of the household agricultural activities:
- Type of agricultural activities
- Type of management
- Number of household's members mainly responsible for agricultural activities in the last twelve months
(b) INDIVIDUALS:
• Characteristics of members of the household engaged in agricultural activities:
- Relation to head
- Age
- Sex
- Highest education
- Involvement and average hours worked per week in agricultural activities
- Number of hired workers and average hours worked per day per person
(a) HOUSEHOLDS:
• Structure and characteristics of agricultural activities of households in Vanuatu
• Number and distribution of household engaged in agriculture
• General characteristics of the household agricultural activities:
- Type of agricultural activities
- Type of management
- Number of household's members mainly responsible for agricultural activities in the last twelve months
(b) INDIVIDUALS:
• Characteristics of members of the household engaged in agricultural activities:
- Relation to head
- Age
- Sex
- Highest education
- Involvement and average hours worked per week in agricultural activities
- Number of hired workers and average hours worked per day per person
Topics
| Topic | Vocabulary |
|---|---|
| Agriculture & Rural Development | FAO |
| Forests & Forestry | FAO |
| Livestock | FAO |
| Labor | FAO |
Coverage
Geographic Coverage
National coverage
Universe
The Survey covers all rural households
· Crop gardening
· Kava sub-holding
· Coconut sub-holding
· Cocoa sub-holding
· Coffee sub-holding
· Vanilla sub-holding
· Pepper sub-holding
· Cattle sub-holding
· Other livestock keeping
· Household fishing
· Household forestry-related activity
· Crop gardening
· Kava sub-holding
· Coconut sub-holding
· Cocoa sub-holding
· Coffee sub-holding
· Vanilla sub-holding
· Pepper sub-holding
· Cattle sub-holding
· Other livestock keeping
· Household fishing
· Household forestry-related activity
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Vanuatu National Statistics Office | Vanuatu Government |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Statistics and Demography Program | South Pacific Community | Technical Assistance |
| Food Agriculture Organisation | United Nation | Technical Assistance |
| Nirmana Pty Ltd | Private Consulation Agency | Data Analysis & Report Writing |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| New Zealand Aid Agency | NZaid | Principal Funder |
| Vanuatu Government | VANGOV | Funding |
| Food Agriculture Organisation | FAO | Funding |
| Australian Aid Agency | AusAID | Funding |
| European Union | EU | Funding |
Sampling
Sampling Procedure
SAMPLING METHOD:
The Agriculture Census (Phase I and II) was undertaken in eighteen main islands of Vanuatu which are: namely, Banks. Torres, Malo, Santo, Ambae, Maewo, Pentecost, Malekula, Ambrym, Paama, Epi, Shepherds, Efate, Erromango, Tanna, Aneityum, Aniwa and Futuna. The 18 major islands were classified as:
• Small - number of households engaged in agricultural activities less than 500 (Torres, Paama, Erromango, Aniwa, Aneityum and Futuna);
• Medium - number of households engaged in agricultural activities 500-1,999 (Banks, Malo, Maewo, Ambrym, Epi and Shepherds); and
• Large - number of households operating agricultural activities 2,000 or more (Efate, Malekula, Ambae, Pentecost and Tanna).
In determining the number of households to be interviewed in each island and in each enumeration area (EA):
- for small islands, all households were listed, and the identified households engaged in agricultural activities were enumerated;
- for medium-sized islands, one-third of the sample EAs in these islands were selected and all households were listed and those found to be engaged in agricultural activities were interviewed; and
- for large islands, one-third of the total EAs were selected in each island and all households listed. Of households found to have a crop garden, coconut sub-holding or kava sub-holding, one-third were selected to be further interviewed. In addition, all households listed and involved in the sub holding of cattle and cash crops like cocoa, coffee (for Tanna only), vanilla and pepper (10 or more plants) were also enumerated
The Agriculture Census (Phase I and II) was undertaken in eighteen main islands of Vanuatu which are: namely, Banks. Torres, Malo, Santo, Ambae, Maewo, Pentecost, Malekula, Ambrym, Paama, Epi, Shepherds, Efate, Erromango, Tanna, Aneityum, Aniwa and Futuna. The 18 major islands were classified as:
• Small - number of households engaged in agricultural activities less than 500 (Torres, Paama, Erromango, Aniwa, Aneityum and Futuna);
• Medium - number of households engaged in agricultural activities 500-1,999 (Banks, Malo, Maewo, Ambrym, Epi and Shepherds); and
• Large - number of households operating agricultural activities 2,000 or more (Efate, Malekula, Ambae, Pentecost and Tanna).
In determining the number of households to be interviewed in each island and in each enumeration area (EA):
- for small islands, all households were listed, and the identified households engaged in agricultural activities were enumerated;
- for medium-sized islands, one-third of the sample EAs in these islands were selected and all households were listed and those found to be engaged in agricultural activities were interviewed; and
- for large islands, one-third of the total EAs were selected in each island and all households listed. Of households found to have a crop garden, coconut sub-holding or kava sub-holding, one-third were selected to be further interviewed. In addition, all households listed and involved in the sub holding of cattle and cash crops like cocoa, coffee (for Tanna only), vanilla and pepper (10 or more plants) were also enumerated
Response Rate
100 percent
Weighting
“SWEIGHT” should be applied to all households (questionnaires) with household forms. In addition, this should be applied when generating totals for Kava and Coconut sub-holdings characteristics.
On the other hand, “DWEIGHT” should be used when tabulating Cocoa, Vanilla, Pepper, and Cattle sub-holdings characteristics.
Note that when cross tabulation is to be done for variables from these two different weighting groups (mixed), the sample weight “SWEIGHT” should be used.
On the other hand, “DWEIGHT” should be used when tabulating Cocoa, Vanilla, Pepper, and Cattle sub-holdings characteristics.
Note that when cross tabulation is to be done for variables from these two different weighting groups (mixed), the sample weight “SWEIGHT” should be used.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-10-01 | 2008-10-30 |
Data Collection Mode
Face-to-face [f2f]
Data Processing
Data Editing
(a) EDITING
Eight data entry operators were hired by the project to do the data encoding of the Phase I of the project. This was the first-hands on as far as the software is concerned for all the data entry operators. Before the actual data entry, the data processing expert had all eight operators plus the supervisors on a training session for a few days. At the end of the training session, they were familiar with the software and then started the actual data encoding. The processing of data for Phase I of the project took the entire month of June 2006 to be completed. During the Phase II of the project, the expert set up the system and trained the local staff on system operation for two weeks and then left for his home country. Since the project staff and the data entry operators who were hired were already familiar with CsPro, the whole data processing was done without the presence of the consultant. The expert later came for his final mission to prepare the data for tabulation and generate the required tables using the table specifications for that purpose.
(b) PROCESSING
Coding, processing and tabulation were completed by mid-September 2006. The machine data processing of the forms was done using CsPro. Data encoding, data cleaning and tabulation were done using data entry, batch edit and cross tab applications respectively. Control and management of the data entry of the forms and data cleaning of the batch files were done using SCIPS (Survey / Census Integrated Processing System), a Visual Basic 6 (VB6) program developed by the expert designed to integrate the different phases of data capture and data cleaning of any survey/census. The program facilitates the assignment of folios to keyers that resulted to automatic recording of the data capture status of each batch/folio and eliminated errors in the encoding of the geographic identification codes. It also made the data cleaning easier since SCIPS enabled the users to correct errors found by the data consistency and completeness check programs without printing the generated error list.
Eight data entry operators were hired by the project to do the data encoding of the Phase I of the project. This was the first-hands on as far as the software is concerned for all the data entry operators. Before the actual data entry, the data processing expert had all eight operators plus the supervisors on a training session for a few days. At the end of the training session, they were familiar with the software and then started the actual data encoding. The processing of data for Phase I of the project took the entire month of June 2006 to be completed. During the Phase II of the project, the expert set up the system and trained the local staff on system operation for two weeks and then left for his home country. Since the project staff and the data entry operators who were hired were already familiar with CsPro, the whole data processing was done without the presence of the consultant. The expert later came for his final mission to prepare the data for tabulation and generate the required tables using the table specifications for that purpose.
(b) PROCESSING
Coding, processing and tabulation were completed by mid-September 2006. The machine data processing of the forms was done using CsPro. Data encoding, data cleaning and tabulation were done using data entry, batch edit and cross tab applications respectively. Control and management of the data entry of the forms and data cleaning of the batch files were done using SCIPS (Survey / Census Integrated Processing System), a Visual Basic 6 (VB6) program developed by the expert designed to integrate the different phases of data capture and data cleaning of any survey/census. The program facilitates the assignment of folios to keyers that resulted to automatic recording of the data capture status of each batch/folio and eliminated errors in the encoding of the geographic identification codes. It also made the data cleaning easier since SCIPS enabled the users to correct errors found by the data consistency and completeness check programs without printing the generated error list.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Vanuatu National Statistics Office | Government of Vanuatu | [email protected] | Link |
Confidentiality
Confidentiality of the respondent is the VNSO's responsibility:
1. Not to take no copies for the forms outside of office.
2. Not publish any names.
Access conditions
Currently there is no access policy to access this data but the Government Statistician will look into this issue and put inplace some data access policies.
Citation requirements
"National Statistics Office of Vanuatu, Agriclture Census 2006-2008 (AGC 2006), Version 01 of the licensed dataset (September 2008), provided by the Microdata Library. https://microdata.pacificdata.org/index.php/home"
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
Metadata production
DDI Document ID
DDI_VUT_2006-2008_AC_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Adoption of metadata for FAM |
| Vanuatu National Statistics Office | VNSO | Vanuatu Government | Documentation of the study |
| Statistics for Development Division | SDD | Pacific Community | Review of the documentation |
DDI Document version
VUT_2006-2008_AC_v01_EN_M_v01_A_OCS_v01