Post Harvest Losses - Pilot Survey 2018
Namibia, 2018
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Reference ID
NAM_2018_PHL_v01_EN_M_v01_A_OCS
Producer(s)
Global Strategy for improving Agricultural and Rural Statistics, Namibia Statistics Agency
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Metadata
Created on
Oct 08, 2019
Last modified
Oct 22, 2019
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Identification
Survey ID Number
NAM_2018_PHL_v01_EN_M_v01_A_OCS
Title
Post Harvest Losses - Pilot Survey 2018
Country
| Name | Country code |
|---|---|
| Namibia | NAM |
Study type
Agricultural Survey [ag/oth]
Series Information
National Statistical Agency (NSA) of Namibia received technical assistance from the Global Strategy for improving Agricultural and Rural Statistics (GSARS) to measure post harvest losses for 2 crops: Maize and Millet. This is a pilot survey conducted in 2018.
Abstract
During 2018, the National Statistical Agency (NSA) of Namibia received technical assistance from the Global Strategy to Improve Agricultural and Rural Statistics hosted by FAO on the measurement of Post-Harvest Losses (PHL). In this regard, a pilot survey was conducted by NSA in the Kavango West region to compare estimations using subjective and objective methods. The main crops analyzed are millet and maize. Subjective measurement methods included farmer recall, while the objective methods chosen were implemented through crop cutting, and samples of harvested crop analyzed in a lab. Unfortunately, the project ended before the samples were received from the lab, so these data are not available.
The pilot survey was conducted in Kavango West region only and the Primary Sampling Units (PSUs) were derived from the 2013/14 Agricultural Census frame. Staff from the Ministry of Agriculture, Water and Forestry (MAWF), (agricultural technicians as enumerators and agricultural technician as team supervisors) carried out field activities. In total, a sample of 350 farms were enumerated. The data collection took place from May 2018 to August 2018 (30 working days) and included both the subjective and objective measure of the PHL.
The pilot survey was conducted in Kavango West region only and the Primary Sampling Units (PSUs) were derived from the 2013/14 Agricultural Census frame. Staff from the Ministry of Agriculture, Water and Forestry (MAWF), (agricultural technicians as enumerators and agricultural technician as team supervisors) carried out field activities. In total, a sample of 350 farms were enumerated. The data collection took place from May 2018 to August 2018 (30 working days) and included both the subjective and objective measure of the PHL.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households
Scope
Notes
The scope of the survey include:
1. Household Identification
2. Household Socio-Demographic Characteristics
3. Household Agricultural Practices: Seeds, Fertilizers, Pesticides
4. On-farm Loss
5. Off-farm Loss
6. Storage & Storage Facilities
7. Post-Harvest Loss Prevention Strategies
8. Physical Measurements (Crop Cutting)
9. Source of Post-Harvest Management Information
10. Government Assistance
1. Household Identification
2. Household Socio-Demographic Characteristics
3. Household Agricultural Practices: Seeds, Fertilizers, Pesticides
4. On-farm Loss
5. Off-farm Loss
6. Storage & Storage Facilities
7. Post-Harvest Loss Prevention Strategies
8. Physical Measurements (Crop Cutting)
9. Source of Post-Harvest Management Information
10. Government Assistance
Coverage
Geographic Coverage
Regional Coverage
Universe
Agricultural households in the Kavango West region.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Global Strategy for improving Agricultural and Rural Statistics | Food and Agricultural Organization |
| Namibia Statistics Agency | Government of Namibia |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture, Water and Forestry | Collaborator | |
| Agro-Marketing and Trade Agency | Collaborator | |
| Global Strategy for improving Agricultural and Rural Statistics | FAO | Technical Assistance |
| African Development Bank | Technical Assistance |
Sampling
Sampling Procedure
The PHL pilot study mainly followed the National Census of Agriculture (NCA) 2013/14 methodology. The NCA 2013/14 used a stratified two stage cluster sample design. At the first stage, primary sampling units (PSUs) were selected with Probability Proportional to Size (PPS) from the sampling frame based on the Enumeration Areas of 2011 Population and Housing Census. The size measure of a PSU in the sampling frame was the number of agricultural households which was derived from the questions included in 2011 Population and Housing Census as per the FAO recommendations.
The list of agricultural households was prepared through the listing process within a selected PSU to compile the sampling frame for agricultural households which was selected systematically.
A third stage of sampling was also conducted to select plots which contained the two main crops, maize, and millet for objective measurement as described below.
A list of plots planted with maize or millet in each sampled PSU was created. Then, one plot was randomly selected from the two main crops of the holder. An area was then marked within the selected plot according to the FAO guidelines and the matured crop inside this marked area was cut and weighed when the crop was wet and dry.
Crop cutting enable estimation of the yield of a crop and the losses during harvesting, threshing/shelling, and cleaning/winnowing. This was done through processing the produce of sub-plots in selected fields. Interviewers did the crop cutting manually according to the techniques used by the farmer. After the manual harvesting was done, the second team of supervisors entered the field and collected all fallen ears/cobs, grains and weighed them after which the information was recorded. These figures are used to estimate the average yields of each of the crops.
The list of agricultural households was prepared through the listing process within a selected PSU to compile the sampling frame for agricultural households which was selected systematically.
A third stage of sampling was also conducted to select plots which contained the two main crops, maize, and millet for objective measurement as described below.
A list of plots planted with maize or millet in each sampled PSU was created. Then, one plot was randomly selected from the two main crops of the holder. An area was then marked within the selected plot according to the FAO guidelines and the matured crop inside this marked area was cut and weighed when the crop was wet and dry.
Crop cutting enable estimation of the yield of a crop and the losses during harvesting, threshing/shelling, and cleaning/winnowing. This was done through processing the produce of sub-plots in selected fields. Interviewers did the crop cutting manually according to the techniques used by the farmer. After the manual harvesting was done, the second team of supervisors entered the field and collected all fallen ears/cobs, grains and weighed them after which the information was recorded. These figures are used to estimate the average yields of each of the crops.
Weighting
The weight was calculated based on the sampling design; with the application of a 2 stage sampling weight calculation.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2018-05-28 | 2018-08-30 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Data Processing
Data Editing
The dataset received by the Office of Chief Statistician (OCS) team was already cleaned by Aliou Mballo directly with NSA. During the cleaning process, all direct identifiers were removed. Furthermore, the declaration, phyiscal measurement, and storage data for the second crops, were transposed from wide to long. So instead of the farmer declaration variables of the second crop captured by the variables titled from “D6” to “D10-6” in the questionnaire being in their own columns, there is a second row in the dataset containing data from sections C, D, E and G containing data for the second crop, spread across columns “crop_code” to “D5-6”. The same logic applies to the physical measurements and storage data.
The sections CDEG dataset contains data for some crops which do not correspond to records in the Section C dataset on agricultural practices. This is due to a mistake amongst some enumerators which filled in directly Section D for some crops and skipped agricultural practices. This is especially prevelant for measurement data for maize. The data from the lab was not received in time for the project deadline. Accordingly, section “H_Storage_Lab” from the questionnaire was not available to be included in the dataset.
The sections CDEG dataset contains data for some crops which do not correspond to records in the Section C dataset on agricultural practices. This is due to a mistake amongst some enumerators which filled in directly Section D for some crops and skipped agricultural practices. This is especially prevelant for measurement data for maize. The data from the lab was not received in time for the project deadline. Accordingly, section “H_Storage_Lab” from the questionnaire was not available to be included in the dataset.
Other Processing
All direct identifiers have been removed from the dataset. Furthermore, age data for household member were recoded into 10 year age bands, and individuals aged 70 or more were top-coded. Marital status was recoded into 3 categories, and local suppression was applied to age and marital status resulting in 6 and 7 percent of suppressed records respectively. Finally, due to the analytical importance of only maize and millet, the other crops were quite rare, and recoded into one group, "other crops".
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Aliou Mballo | Food and Agriculture Organization | [email protected] |
Confidentiality
The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO.
Access conditions
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
- The micro dataset will only be used for statistical and/or research purposes;
- Any results derived from the micro dataset will be used solely for reporting aggregated information, and not for any specific individual entities or data subjects;
- The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO;
- The micro dataset cannot be re-disseminated by users or shared with anyone other than the individuals that are granted access to the micro dataset by FAO.
Citation requirements
GSARS, NSA. Post Harvest Losses - Pilot Survey 2018, Namibia, 2018. Dataset downloaded from https://microdata.fao.org.
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_NAM_2018_PHL_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of the Chief Statistician | OCS | Food and Agricultural Organization | Metadata Producer |
DDI Document version
NAM_2018_PHL_v01_EN_M_v01_A_OCS_v01