Framework for Agricultural Data Collection in IFSERAR Mandate

States

Out Line

Background Core sub-sectoral data needs

- Crops- Live stock- Fisheries

Potential Sources of secondary Data Collaboration options

Background

Food Security and Socio-economic Research programme (FSSRP) is one of eight (8) IFSERAR Research Programmes

It is to: i. periodically assess the performance of each IFSERAR mandate state with regard to food security and related issues; and

ii. support IFSERAR management on resource use, activity, planning, monitoring and evalution.

Background Continued

To do above, it is expedient for the FSSRP to conduct sample surveys to generate primary data to be complemented with secondary data which should meet the data needs of the different research programmes.

Three issues are critical: - data quality/accuracy - cost-effectiveness - sustainability of the process.

Background continued

Status quoa. Direct recruitment of temporary staff to

collect data; andb. Collaboration with ADPs and other agencies

that generate primary agricultural data.

Core sub-sectoral data

Crops:

• average yield (tonnes/ha) of each crop (as sole and in each major cropping system)

• area (ha) cropped to each crop (as sole and in each major cropping system)

• output (tonnes) of each crop • average size of farm holding (ha)• proportion of farmers into the production of each crop

Crops Continued

• post-harvest handling * agro-input prices, ₦.• major agricultural commodity prices, ₦.• international prices of tradable commodities, US$ • cost profile and returns of each major cropping

system• subsistence/commercial level of farmers• utilization levels of improved agro-inputs among

farmers• major agronomic practices of farmers

Crops Continued

• basic socio-economic characteristics of farmers (age, household, educ level etc.)

• farm gate and extra-farm gate losses• access to credit, insurance, extension services • produce marketing• structure of annual food import and cost• weather statistics (rainfall—number of rainy

days/month, quantity; humidity; etc.

Livestock

• types of major livestock in each mandate state• size of each major livestock type in the

mandate states• proportion of farmers into aech livestock• average livestock holding per farmer• output of each type of livestock• major farm practices of farmers• access to credit, insurance, extension services

Livestock Continued

• access to vet services• utilization levels of improved agro-inputs• marketing of livestock• subsistence/commercial levels of farmers• production constraints

Fisheries

• number of artisanal fishers• number of industrial fishers• average seasonal catch per artisanal fisher• average seasonal catch per industrial fisher • number of fish farmers• structure of aquacultural farms• average size of farm types• average productivity of farm types

Fisheries Continued

• aggregate fish production per state• major practices of fishers• utilization of improved inputs• produce and input prices• access to credit, extension services etc.• production constraints• fish processing• fish product loss

Potential Sources of Secondary Data

a. ADPs – conduct of annual Agricultural Production Survey (APS), fortnightly market price survey (MPS) and ad hoc/ project-related surveys. [Conducting the Village Listing Survey (VLS) is long overdue in several states.]

b. National Agricultural Research Institutes (NARIs) with adequate facilities to support the conduct of sample surveys inclusive of Nigerian Institute for Socio-Economic Research (NISER).

Potential Sources of Secondary Data cont’d

c. Other agencies in agricultural data generation/ sourcing and utilization e.g. Central Bank of Nigeria (CBN), National Bureau of Statistics (NBS), State Bureau of Statistics --- how to be on respective distribution lists for publications.

d. International secondary sources of data will, also, be explored as necessary.

Collaboration Options

a. Collaborative conduct of surveys.b. The possibility of IFSERAR paying the allowances

of a number of enumerators, especially, in ADPs. c. Inclusion of each collaborator in the (publication)

distribution list of the other collaborator. d. Each agency should be able to, also, elaborate on

the kind of collaboration that will work with IFSERAR.

Summarized IFSERAR Agricultural Data Sources

Primary Data - Sole – IFSERARCollaboration - IFSERAR – ADP - IFSERAR – NARI - IFSERAR - NISER

Secondary DataLocal - NBS - State ADPs - CBN - NPC - State Statistics department - NISER - NARIs - Meteorological Services - Others

Summarized IFSERAR Agricultural Data Sources Cont’d

Secondary DataInternational - IFPRI - FAO - WTO - WMO - UNDP - Others

Primary Data Collection/Reporting Flow

PROBLEM/STUDY IDENTIFICATION - Problem Analysis; – Smart Topic

SURVEY DESIGN - Sampling Frame; – Sample Size; – Sampling Procedure; - Questionnaire Design; -Pretesting; - Finalization

SURVEY CONDUCT – enumeration sensitization ;- enumerator selection – enumeration training; – survey supervision; –

questionnaire retrievals

Primary Data Collection/Reporting Flow Cont’d

DATA CLEANING/CODING – data consistency; - reaffirmation

DATA ANALYSIS – appropriate techniques; - meaningfulness

REPORTING AND RESULT UTILIZATION