Crop Forecast Survey 2007 - 2008
Zambia, 2008
Reference ID
ZMB_2008_CFS_v01_M
Producer(s)
Ministry of Agriculture and Cooperatives, Central Statistical Office
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
Page views
33702
Downloads
5373
Identification
Survey ID Number
ZMB_2008_CFS_v01_M
Title
Crop Forecast Survey 2007 - 2008
Country
| Name | Country code |
|---|---|
| Zambia | ZMB |
Study type
Agricultural Survey [ag/oth]
Series Information
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 and 2007-2008 CFS is the eighth in the series.
The CFS is conducted annually and 2007-2008 CFS is the eighth in the series.
Abstract
The purpose of the Crop Forecast Survey is to obtain information from farmers on the anticipated estimates of the area under major crops,production and sales during the season.This information is used to assess the expected food security situation in the country and aslo provide the national food balance sheet which is used to dertermine the surplus or deficit of major cereals and tubers in the country. The information is vital to the government, NGOs, private sector particularly traders as well as well as donors for strategic planning and decision making purposes. Such strategic decisions may relate to local marketing and import/export.
The estimates obtained are on area planted to crops, expected crop production, quantity and variety of seed, quantity and type of fertilizer used, expected crop sales, area under cassava, area under mature cassava and carryover stocks. Except otherwise stated, the reference period for this information is the agricultural season starting 1st October 2007 ending 30th September 2008.
The estimates obtained are on area planted to crops, expected crop production, quantity and variety of seed, quantity and type of fertilizer used, expected crop sales, area under cassava, area under mature cassava and carryover stocks. Except otherwise stated, the reference period for this information is the agricultural season starting 1st October 2007 ending 30th September 2008.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Agricultural households
- Individuals, members of agricultural households
- Individuals, members of agricultural households
Version
Version Description
Version 2.1: Edited, anonymous dataset for public distribution
Version Date
2008-05
Version Notes
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.
Scope
Notes
The scope of the Crop Forecast Survey includes:
Crops under cultivation, area planted, area already harvested and expected to be harvested, reasons for poor harvests, seed variety and quantity used to plant, quantity of fertilizers used, expected total production and sales for the season.
Crops under cultivation, area planted, area already harvested and expected to be harvested, reasons for poor harvests, seed variety and quantity used to plant, quantity of fertilizers used, expected total production and sales for the season.
Topics
Keywords
| Keyword | Vocabulary |
|---|---|
| plant and animal distribution [9.4] | CESSDA |
| land use and planning [10.2] | CESSDA |
Coverage
Geographic Coverage
National coverage
The survey was conducted in the same 680 SEAs that were covered for the 2006/2007 CFS.
The survey was conducted in the same 680 SEAs that were covered for the 2006/2007 CFS.
Universe
A sample of small and medium scale agriculture households and all large scale farmers
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Ministry of Agriculture and Cooperatives | Government of the Republic of Zambia |
| Central Statistical Office | Ministry of Finance and National Planning |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Agriculture and Cooperatives | Republic of the Government of Zambia | Technical assistance in data collection |
| Food Security Reaserch Project | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Republic of Zambia | GovZMB | Funded the survey |
Sampling
Sampling Procedure
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, 431 urban 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.
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.
Response Rate
Since this is mainly rural based household survey the response rates are generally high i.e. close to hundred percent
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2008-03 | 2008-04 |
Time periods
| Start date | End date |
|---|---|
| 2007-09-30 | 2008-10-01 |
Data Collection Mode
Face-to-face [f2f]
Supervision
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.
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.
Data Collection Notes
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.
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.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Statistical Office | CSO | Ministry of Finance and National Planning |
| Ministry of Agriculture and Cooperatives | MACO | Government of the Republic of Zambia |
Questionnaires
Questionnaires
The questionnaire for the Crop Forecast Survey contained and collected information on the following:
- Name of the village/locality;
- Household serial number (assigned by the Enumerator during listing);
- Name of the head of household;
- Sex and age of head of household;
- Household size;
- Type of agricultural activity the household is involved in;
- Fertilizer acquisition and use;
- Crop production and sales;
- Livestock and poultry production and marketing;
- Crop Management - input application and tillage methods;
- Crop rotation and irrigation.
- Name of the village/locality;
- Household serial number (assigned by the Enumerator during listing);
- Name of the head of household;
- Sex and age of head of household;
- Household size;
- Type of agricultural activity the household is involved in;
- Fertilizer acquisition and use;
- Crop production and sales;
- Livestock and poultry production and marketing;
- Crop Management - input application and tillage methods;
- Crop rotation and irrigation.
Data Processing
Data Editing
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.
Other Processing
Consistency checks on the output of the raw data, with reference to the source documents, were applied before final weighted tables at district and provincial levels were produced. The software used for analysis was Statistical Package for Social Sciences (SPSS), while Microsoft Excel was used for data tabulation.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Central Statistical Office | info@zamstats.gov.zm | Link |
Confidentiality
Confidentiality of respondents is guaranteed under the provisions of the Census and Statistics Act, CAP 127 of the laws of Zambia.
Access conditions
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.
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.
Citation requirements
Central Statistical Office, Crop Forecast Survey 2007-2008 (CFS 2008), Version 1.1 of the public use dataset (April 2009),Provided by the Central Statistical Office. http//.www.zamstats.gov.zm
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Central Statistical office | info@zamstats.gov.zm | Link |
Location of Data Collection
National Data Archive, Central Statistical Office of Zambia
Archive where study is originally stored
National Data Archive, Central Statistical Office of Zambia
http://www.zamstats.gov.zm/nada/index.php/catalog/31
Cost: None
http://www.zamstats.gov.zm/nada/index.php/catalog/31
Cost: None
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_ZMB_2008_CFS_v02_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Central Statistical Office | CSO | Ministry of Finance and National Planning | Documentation of the Study |
Date of Metadata Production
2009-08-17
DDI Document version
Edited version, the original (DDI-ZMB-CSO-CFS-2007/8-v1.0) 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, and Unit of Analysis.