Namibia Census of Agriculture 2013/2014 - Communal Sector
Namibia, 2014
Namibia Statistics Agency, Ministry of Agriculture, Water and Forestry
Identification
Title
Namibia Census of Agriculture 2013/2014 - Communal Sector
Subtitle
Third round
Countries
| Name | Abbreviation |
|---|---|
| Namibia | NAM |
idno
NAM-NSA-NCA-CN-2013-2014-v02
Study notes
The Namibia Census of Agriculture (NCA) 2013/14 covered the communal and commercial farming sectors throughout the country. The objective of the NCA 2013/14 is to obtain baseline agricultural production and structural variables for the communal and commercial farming sectors at the national and regional levels. The census will provide statistics to improve planning and decision-making in the agricultural sector and satisfy the information needs of the socio-economic database being set up by the Namibia Statistics Agency (NSA).
Kind of data
Sample survey data [ssd]
Unit of analysis
The study was done on the population for the communal sector and a significant number of agricultural households in the rural communal areas of Namibia including the semi-urban areas around the urban centers. The census collected detailed data on crop production, crop storage, livestock production and fish farming. The unit of analysis is individuals, agricultural household, agricultural holdings, parcels and plots.
Version
Version
v2.1 Edited, cleaned, revised anonymised, datasets for public users.
Version date
2015-11-23
Version notes
Not Applicable
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| INTRODUCTION | ||
| AGRICULTURAL HOUSEHOLDS DEMOGRAPHIC CHARACTERISTICS | ||
| LAND USE | ||
| ACCESS TO EXTENSION SERVICES AND FACILITIES | ||
| EQUIPMENT AND INFRASTRUCTURE | ||
| ACCESS TO CREDIT FACILITIES | ||
| FARM MANAGEMENT | ||
| AQUACULTURE/FISH FARMING | ||
| FORESTRY | ||
| FOOD SECURITY | ||
| OTHER ECONOMIC ACTIVITY | ||
| LABOUR INPUTS | ||
| USAGE AND DISPOSITION OF CROPS | ||
| LIVESTOCK |
Keywords
| keyword | URI |
|---|---|
| Agricultural inputs | |
| Crop production | |
| Land use | |
| Harvest | |
| Livestock | |
| Labour | |
| Crop yield | |
| Irrigation | |
| Storage facilities | |
| Economic activity | |
| Apiary | |
| Aquaculture | |
| Forestry | |
| Crop | |
| Seed | |
| Holding | |
| Household | |
| Farming | |
| Fertilizers | |
| Field | |
| Parcel | |
| Plot | |
| Agriculture | |
| Census | |
| Holder |
Coverage
Geographic coverage
The geographical coverage for the NCA-CN 2013/2014 covers only the agricultural households and the population living in those households who are engaged in subsistence farming activities, thus the coverage for the communal sector is only the rural areas and the semi-urban areas.
Unit of analysis
The study was done on the population for the communal sector and a significant number of agricultural households in the rural communal areas of Namibia including the semi-urban areas around the urban centers. The census collected detailed data on crop production, crop storage, livestock production and fish farming. The unit of analysis is individuals, agricultural household, agricultural holdings, parcels and plots.
Universe
The NCA-CN 2013/2014 is designed to cover all the agricultural households members regardless of age who reside in the holding on the day of enumeration.
Producers and sponsors
Producer(s)
| Name | Affiliation | Role |
|---|---|---|
| NOT APPLICABLE |
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| The Government of the Republic of Namibia | GRN | Funding |
| Food and Agriculture Organization of the United Nations | FAO | Funds and Technical support |
| African Development Bank | AfDB | Funding |
Sampling
Sampling procedure
Sample size
A total sample size of 10,550 agricultural households was determined to give reasonably reliable estimates at the regional level for the most important variables. The proportional allocation of this sample did not yield the minimum sample size for some of the sparsely populated regions hence a power allocation with some adjustments had to be carried out as a compromise procedure while keeping the overall national sample fixed.
In general,10 agricultural households were sampled from each of the selected PSUs thus having a larger spread of the sample across the population of agricultural households. However, in some of the southern regions having less communal farming activities, the sample size per PSU was raised to 16 agricultural households.
Sample design
A stratified two stage cluster sample design for the communal sector was used. 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 the 2011 Population and Housing Census as per the World Programme of Agriculture 2010 (WCA 2010) Handbook recommendations.
The main strata was the regions which are also the primary domains of estimation. The frame units (PSUs) were further stratified implicitly by the constituencies within the regions. The list of agricultural households prepared within a selected PSU formed the secondary sampling frame from which a sample of agricultural households was selected systematically.
A third stage of sampling was introduced to measure objectively the average yields of the three major crops namely; Maize, Sorghum and Millet for the purpose of estimating the production instead of the farmer's estimates. Hence a crop cutting experiment was conducted to measure the average yield of these crops. A list of plots under each of these crops in a sampled PSU was made using the plot information of the selected households within the PSU. These lists then formed the sampling frames for each of the crops in the PSU.
Three plots were then randomly selected from each of the crop lists. If the list contained less than 3 plots then all were included in the experiment. An area was marked within the selected plot according to the FAO guidelines. Matured crops inside this marked area were cut and the weights from wet as well as dry grains were recorded. Grains were weighted while wet as well as dry. These figures were then used to estimate the average yield of each of the crops.
A total sample size of 10,550 agricultural households was determined to give reasonably reliable estimates at the regional level for the most important variables. The proportional allocation of this sample did not yield the minimum sample size for some of the sparsely populated regions hence a power allocation with some adjustments had to be carried out as a compromise procedure while keeping the overall national sample fixed.
In general,10 agricultural households were sampled from each of the selected PSUs thus having a larger spread of the sample across the population of agricultural households. However, in some of the southern regions having less communal farming activities, the sample size per PSU was raised to 16 agricultural households.
Sample design
A stratified two stage cluster sample design for the communal sector was used. 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 the 2011 Population and Housing Census as per the World Programme of Agriculture 2010 (WCA 2010) Handbook recommendations.
The main strata was the regions which are also the primary domains of estimation. The frame units (PSUs) were further stratified implicitly by the constituencies within the regions. The list of agricultural households prepared within a selected PSU formed the secondary sampling frame from which a sample of agricultural households was selected systematically.
A third stage of sampling was introduced to measure objectively the average yields of the three major crops namely; Maize, Sorghum and Millet for the purpose of estimating the production instead of the farmer's estimates. Hence a crop cutting experiment was conducted to measure the average yield of these crops. A list of plots under each of these crops in a sampled PSU was made using the plot information of the selected households within the PSU. These lists then formed the sampling frames for each of the crops in the PSU.
Three plots were then randomly selected from each of the crop lists. If the list contained less than 3 plots then all were included in the experiment. An area was marked within the selected plot according to the FAO guidelines. Matured crops inside this marked area were cut and the weights from wet as well as dry grains were recorded. Grains were weighted while wet as well as dry. These figures were then used to estimate the average yield of each of the crops.
Response rate
Response rates were computed for each region and the overall response was 95.9 percent.
Weighting
Since the PPS selection is and unequal probability selection the sample data has to be weighted. These weights which are generally called sample weights or base weights are the inverse of the inclusion probability.
Although the expected sample agricultural households was the responding households would be less than this number. Since the non-response was not too large and the reasons seem to suggest that there are no remarkable differences between the responding and non responding households, the responding households ( were taken as a random sample of the selected households. This will affect the probabilities and accordingly the weight and therefore the non response adjusted weight is
Although the expected sample agricultural households was the responding households would be less than this number. Since the non-response was not too large and the reasons seem to suggest that there are no remarkable differences between the responding and non responding households, the responding households ( were taken as a random sample of the selected households. This will affect the probabilities and accordingly the weight and therefore the non response adjusted weight is
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2014-02-02 | 2014-07-17 | 6 months |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
The interviewers were divided into teams of 4 interviewers for which one supervisor is assigned to every team of 4 interviewers. Thus one supervisor and 4 interviewers form one team. Number of interviewers were 708 and supervisors were 177.
The role of the Team Supervisor (TS) will visit enumerators on a regular basis during the enumeration period in order to "spot-check" and/or complete check of the questions in CAPI. Supervisors also supply thier enumerators with the materials and instructions, and try to help them with any problems during the field work.
Personnel from the Head Office team paid visits to the field on an on-going regular basis. During these visits, spot-checking of the performance of interviewers and supervisors were carried out.
The role of the Team Supervisor (TS) will visit enumerators on a regular basis during the enumeration period in order to "spot-check" and/or complete check of the questions in CAPI. Supervisors also supply thier enumerators with the materials and instructions, and try to help them with any problems during the field work.
Personnel from the Head Office team paid visits to the field on an on-going regular basis. During these visits, spot-checking of the performance of interviewers and supervisors were carried out.
Questionnaires
Computer Assisted Personal Interview (CAPI) replaced the conventional paper questionnaire.
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Namibia Statistics Agency | NSA | Minstry of Economic Planning |
| Ministry of Agriculture Water and Forestry | MAWF |
Data Processing
Data editing
Data editing took place at a number of stages throughout the processing, including:
Office editing and coding, Data editing and data cleaning using Stata 13 and CSPro 5.0,
These phases were carried out over a period of 18 months. Out of this period, the designing of tabulation programs, and the generation, verification and correction of tables lasted for 10 months.
Office editing and coding, Data editing and data cleaning using Stata 13 and CSPro 5.0,
These phases were carried out over a period of 18 months. Out of this period, the designing of tabulation programs, and the generation, verification and correction of tables lasted for 10 months.
Data Appraisal
Other forms of data appraisal
N/A
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistic Agency | Ministry of Economics Planning | info@nsa.org.na | www.nsa.org.na |
Access conditions
The datasets has been anonymized and is available as a Public Use Dataset, accessible to all. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Namibia Statistics Agency.
2. The data will be used for statistical and scientific research purposes only. It will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-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 Namibia Statistics Agency.
4. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Namibia Statistics Agency will cite the source of data in accordance with the Citation Requirement provided with each dataset.
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Namibia Statistics Agency.
2. The data will be used for statistical and scientific research purposes only. It will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.
3. No attempt will be made to re-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 Namibia Statistics Agency.
4. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Namibia Statistics Agency will cite the source of data in accordance with the Citation Requirement provided with each dataset.
Citation requirements
Namibia Statistics Agency (2015). Namibia Census of Agriculture 2013/2014 /Communal Sector Report, Version 1.0 of the public use dataset (November 2015), Windhoek, Republic of Namibia.
Website: www.nsa.org.na
Website: www.nsa.org.na
Disclaimer and copyrights
Disclaimer
The Namibia Statistics Agency bears no responsibility for use of the data or for interpretations or inferences based upon public uses.
Copyrights
(c) 2015, Namibia Statistics Agency
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistics Agency | Ministry of Economic Planning | inf@nsa.org.na | www.nsa.org.na |