This document describes data collection methods for agricultural statistics in Zambia. It discusses several surveys conducted in Zambia to collect structural data on agriculture, with a focus on the Post-Harvest Survey (PHS). The PHS uses a two-stage cluster sample to survey 13,600 agricultural households. Enumerators first list and categorize households in selected areas, then systematically sample 20 households per area for surveys. The methodology also includes preparatory activities like questionnaire revision, training, and pretesting before data collection and cleaning. The final reports are generated based on analytical tables and disseminated.

1. Regional Roundtable on
World Programme for the Census of Agriculture 2020
Nairobi, Kenya, 18-22 September 2017
Data Collection Methods for Statistics
on Structural Aspects of Agriculture in
Zambia
Technical Session 19
1
Name of presenter and/or contact person
Title: Mr. Daniel Daka
Name of agency: Central Statistical Office (Zambia)
E-mail address : mudaala@gmail.com

2. Contents
Background
Methodology
Preparatory Activities
Data Cleaning
Report Writing
Sample output
2

3. Background
 In Zambia, data on structural aspects
of agriculture is collected through a
number of surveys.
 Key among these are:
 (i) The Post Harvest Survey (by
Central Statistical Office) 3

4. Background (ctd)
 (ii) Rural Agricultural Livelihoods
Survey (Indaba Agricultural Policy
Research Institute, and CSO)
 (iii) Living Conditions Monitoring
Survey (CSO)
4

5. •Methodology
The methodology described below applies
to the PHS, since it is the main source of
structural agricultural data.
The Post-Harvest Survey is a large
sample survey of 13,600 agricultural
households (hholds).
It is a stratified two-stage cluster sample.
5

6. Methodology (ctd)
 The fist stage consists of selecting
Enumeration Areas to be covered in the
survey.
 Enumeration Areas are selected from the
Frame of Agricultural Households (PPS)
 Measure of Size is No. Of Agric hholds in EA.
 Frame created from 2010 Census of
Population data
6

7. Methodology(ctd)
 At data collection stage, enumerators first
list all hholds in a selected EA.
 Each of the agric hholds in an EA is put in a
category using several criteria, such as:
 (a) total size of the area under crops
 (b) whether the hhold raises parent stock
of chickens 7

8. Methodology (ctd)
 After listing, 20 hholds in each EA are
selected using Linear Systematic
Sampling.
 PHS questionnaire administered to the
20 selected hholds
8

9. Preparatory Activities (ctd)
 Questionnaire revised, where
necessary. This stage is also training
of Master Trainers. Enumerator
Manual Also prepared at this stage.
 Rendering of questionnaire into
electronic format, using the software
Survey Solutions (CAPI). 9

10. Preparatory Activities (ctd)
 Programming (for trapping some
inconsistencies, extreme values,
etc).[Minimal]
 Pretesting qnr and Survey Solutions
programme.
10

11. Preparatory Activities (ctd)
 Enumerator Training and Field Work
Data Collection Phase
 Supervisors and Master Trainers do
preliminary quality checks in field
 Each day, enumerators submit to CAPI
Supervisors completed qnrs for further
quality checks. 11

12. Data Cleaning
 More rigorous data cleaning syntax
developed in SPSS.
 More thorough data cleaning, by running
the SPSS syntax developed
 Weights generated
 Preliminary tabulations [tables help with
cleaning the data].
12

13. Report Writing
 With clean datasets in place, analytical
tables are generated, based on dummy
tables prepared before hand
 The PHS report is written. Staff share
chapters to write.
 Editing of the PHS report
 Printing of final report.
 Dissemination of report (hard copies)
 Soft copies are disseminated via CDs,
Flash discs, on website, via data portal.
13

14. Sample Outputs
71%
23%
6%
Percentage Distribution of Agricultural
Households by Total Area Under Crops
Area<=2Ha 2Ha<Area=<5Ha Area>5Ha
14

15. Thank You
1