DDI_ZMB_2010_CFS_v02_M
Central Statistical Office
Accelerated Data Program
2013-08-07
NADA
Edited version, the original (Version 1.1 (August 2013)) DDI (DDI-ZMB-CSO-CFS-2009-v1.1) was downloaded from National Data Archive, Central Statistical Office of Zambia (http://www.zamstats.gov.zm/nada/index.php/home) on December 2014. The following DDI elements have been modified: DDI Document ID, survey ID, Series Information, Abstract, and Unit of Analysis.
Crop Forecast Survey 2009 - 2010
CFS 2009-10
ZMB_2010_CFS_v01_M
Ministry of Agriculture and Livestock
Central Statistical Office
Ministry of Agriculture and Livestock
Food Security Reaserch Project
NADA
Government of the Republic of Zambia
Director
Agricultural Survey [ag/oth]
In earlier years in 1978/79 agricultural season, the agricultural survey was called the Agricultural and Pastoral Production Survey, later renamed in 1982/83 as the Early Warning and Agricultural Survey to encompass the Crop Forecasting and Post-Harvest stages of the agricultural season during which period the two different types of surveys were conducted. However, in 1985/86 the two types of surveys were renamed the Crop Forecasting Survey and Post- Harvest Survey, respectively. The two surveys continue to be known as such.
The CFS is conducted annually
Version 2.1: Edited, anonymous dataset for public distribution
This version is as a result of data cleaning and verification process. The procedure included cleaning the original datasets keyed in the provicial office. The data cleaning was done at head office.
Agriculture
Crop Production
Livestock
Poultry
Food (production, crisis)
Agriculture & Rural Development
The purpose of the Crop Forecast Survey is to obtain data for the current agricultural season. In general the estimates obtained usually relate to area planted to crops, expected and/or realized production, quantity and variety of seed, quantity harvested and type of fertilizer used, crop sales, carryover stocks, crop marketing and labour costs among other variables. Except otherwise stated, the reference period for this information is the current agricultural season starting 1st October 2009 ending 30th September 2010.
Zambia
National coverage
The survey was conducted in the same SEAs that were covered for the 2008/2009 CFS.
- Agricultural households
- Individuals, members of agricultural households
A sample of small and medium scale agriculture households and all large scale farmers
Sample survey data [ssd]
The scope of the Crop Forecast Survey includes: demographic characteristiics of household members, farm land and use, mono cropped fields, fields in crop mixture, fertilizer acquisition, seed type, use and source, cassava production forecast, labour costs for maize, crop forecast sales and seed retention from own production, crop stocks, maize sales to FRA and and private traders and a section on distance and market accessibility.
Central Statistical Office
Ministry of Agriculture and Livestock
Annually
The sampling frame of Standard Enumeration Areas (SEAs) was constructed using the results from the 2000 Census of Population and Housing. Within each district, the SEAs were stratified by predominant crop in order to ensure a representative sample for each crop. The SEAs were then sorted by geographic codes to ensure that geographical distribution of the sample SEAs is also representative. The sampling frame included all 12,358 rural SEAs. In addition, 431urban SEAs which had 70 percent or more agricultural households according to the 2000 Census were included in the frame. A sample of 680 SEAs was selected from the total of 12,789 SEAs.
A two-stage sampling scheme was adopted. At the first stage, an allocated proportional number of SEAs in each province and district was selected using the Probability Proportional to Size (PPS) selection procedure. The measure of size was the number of agricultural households (as listed in the Census) in each SEA.
The household was the second stage-sampling unit. Firstly, all households in each sample SEA were listed and agricultural households were identified. To improve the precision of the survey estimates, the agricultural households were stratified into three (3) categories - A, B and C, based on total area under crops, presence of some specified crops and on numbers of cattle, goats, pigs and chickens raised. A number of households were selected from each category using the systematic random sampling method, coming up with a total of twenty (20) sample households in each sample SEA.
Face-to-face [f2f]
The small and medium scale survey questionnaires contained the following:
1. Name of the village/locality
2. Household serial number (assigned by the Enumerator during listing)
3. Name of the head of household
4. Sex and age of head of household
5. Household size
6. Type of agricultural activity the household is involved in
7. Fertilizer acquisition and use
8. Crop production and sales
9. Livestock and poultry production and marketing
10. Crop Management - input application and tillage methods
11. Crop rotation and irrigation
The Regional Statistician in each province oversaw the fieldwork. The provincial head was assisted by a number of supervisors. The overall field work force was 18 Regional Statisticians, 9 Provincial Statistical Officers, 40 supervisors and 204 enumerators. Besides the provincial staff, Master Trainers assisted in the supervision of fieldwork. These were drawn from CSO and MACO - Policy and Planning Division (PPD).
Professional officers from both CSO and MACO-PPD conducted training of supervisors and enumerators. Regional Statisticians/Provincial Statistical Officers assisted them in the task. The master trainers played a major role in the training of staff. The training of supervisors and enumerators were done jointly.
There were, on average, three vehicles for use on the survey in each province. Where the fleet of CSO's motor vehicles, were inadequate it was supplemented through borrowing from the Department of Agriculture and Cooperatives (Field Services) and from other Government Departments in the provinces/districts. Such an arrangement facilitated successful completion of the survey.
The Regional Statistician in each province oversaw the fieldwork. The provincial head was assisted by a number of supervisors. The overall field work force was 18 Regional Statisticians, 9 Provincial Statistical Officers, 40 supervisors and 204 enumerators. Besides the provincial staff, Master Trainers assisted in the supervision of fieldwork. These were drawn from CSO and MACO -Policy and Planning Division (PPD).
Professional officers from both CSO and MACO-PPD conducted training of supervisors and enumerators. Regional Statisticians/Provincial Statistical Officers assisted them in the task. The master trainers played a major role in the training of staff. The training of supervisors and enumerators were done jointly.
Supervisors and some enumerators based at provincial headquarters edited the questionnaires. The edited questionnaires were entered on microcomputers using a software package known as CSPro. Data capturing was accomplished at each provincial centre. Initial computer data processing was done at the provincial headquarters using CSPro software. Staff in Agriculture and Environment Division based at CSO headquarters did further data computer processing.
Since this is mainly rural based household survey the response rates are generally high i.e. close to hundred percent
A post Harvest Survey is conducted to validate the CFS results
National Data Archive, Central Statistical Office of Zambia
National Data Archive, Central Statistical Office of Zambia
http://www.zamstats.gov.zm/nada/index.php/catalog/70
Cost: None
Confidentiality of respondents is guaranteed under the provisions of the Census and Statistics Act, CAP 127 of the laws of Zambia.
Director
"Central Statistical Office, Zambia, Crop Forecast Survey 2009-2010 (CFS 2010), Version 1.1 of the public use dataset (June 2010), Provided by the Central Statistical Office. http//.www.zamstats.gov.zm"
The Director of the Central Statistical Office has to authorise access to information. Before being granted access to the dataset or any other information produced by CSO, all users have to formally agree to the following:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the Central statistical Office.
2. Not to use any technique in an attempt to learn the identity of any person, establishment or sampling unit not identified on public use data files
3. To hold in the 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 the user's analysis will be immediately brought to the attention of the Central Statistical office.
4. The data will be used for statistical and scientific research purposes only.
5. The data and other materials will not be redistributed or sold to other individuals, institutions, or organisation without the written agreement of the CSO.
All CSO products are protected by copyright. Users may apply the information as they wish, provided that they acknowledge CSO as the source of the basic data whenever they process, apply, utilize, publish or distribute the data, and also that they specify that the relevant application and analysis (where applicable) result from their own processing of the data. CSO and the relevant funding agency bear no responsibility for use of the data for interpretations or inferences based upon such uses.