CountrySTAT REGIONAL BASIC
ADMINISTRATOR TRAINING
for ECO MEMBER STATES
Ankara, Turkey, 21 - 25 October 2013
CountrySTAT STATISTICS COMPONENT
(Concepts, Definitions, Classification, Data
Harmonization)
CountrySTAT Team
FAO, Statistics Division
Rome-Italy
OVERVIEW
 CountrySTAT and Global Strategy to Improve
Rural and Agricultural Statistics
 Objectives of the Statistical Component
 Data Quality Process
 Core and Sub-National Modules
 Statistical Specific Characteristics in the Data
Quality Assessment
 Panorama Reports
 CountrySTAT Statistical Reference Documents
CountrySTAT AND GLOBAL STRATEGY TO IMPROVE
RURAL AND AGRICULTURAL STATISTICS
• The Global Strategy supports developing countries to
produce timely and accurate agriculture and rural
statistics by improving statistical systems, methods, tools
and staff skills
• CountrySTAT is aligned with the principles of the Global
Strategy to Improve Agriculture and Rural Statistics. The
Global Strategy is based on 3 pillars:
 Establishment of a minimum set of core data that countries will collect to
meet current and emerging demands (Economic, Social, Environmental and
Geographic Location data)
 The integration of agriculture into national statistical systems in order to
satisfy the demands of policy makers and other users who rely on
comparable data across locations and over time
 Governance and statistical capacity development which will provide the
foundation for sustainability of the agricultural statistics systems
OBJECTIVES OF THE STATISTICAL COMPONENT
• Centralization and integration of data coming from various
sources
• Promote the use of the international standards (Concepts,
Definitions, Classifications) and Metadata
• Data harmonization according to FAO standards
• Support countries to create tables, improve the structure of data
tables, data quality, and to make data available for key indicators
• Assist countries in the estimation of missing data
• improve statistical skills of staff in countries
DATA QUALITY PROCESS
•
DIFFERENT PHASES OF THE DATA QUALITY PROCESS:
CORE AND SUB-NATIONAL MODULES
•
Core Module using the standard data structure allows to compare
data at regional and international level for the 14 Domains (Production,
Trade, Population, Food Availability, Labor, Land Use and Irrigation,
Machinery, Pesticides, Fertilizers, Prices, Forestry, Fisheries, Water and
Value Added) and the Core Standard Indicators.
•
Sub-National Module includes the same categories (domains and
indicators) described in the Core Module (with disaggregated data at
sub national level according to the national classification).
•
Correspondence table allows to ensure linkage and coherence
between the national classification at sub-national level and the
international classification at national core level.
•
Data from Core Module allows to support the elaboration of the Food
Balance Sheets (FBS) and analytical indicators to get Food Security
Statistics.
DATA OF CORE MODULE
DATA OF CORE MODULE
STATISTICAL SPECIFIC CHARACTERISTICS
IN THE DATA QUALITY ASSESSMENT
• The statistical specific characteristics in the data
quality assessment that refer the CountrySTAT
Team are as follows:
 Relevance and completeness
 Accuracy
 Comparability
 Coherence
 Timeliness and punctuality
 Accessibility and clarity
STATISTICAL SPECIFIC CHARACTERISTICS
IN THE DATA QUALITY ASSESSMENT
• Relevance : Refers to the ability of data to meet
current and potential user needs at national,
regional and international levels.
• Accuracy: The analysis of data and metadata accuracy
are carried out during the Technical Working Groups
Meetings.
• Comparability : The adaptation of the national
classification to the classification of commodities,
concepts and definitions of the FAO ensures regional
and international comparability of statistical data.
STATISTICAL SPECIFIC CHARACTERISTICS
IN THE DATA QUALITY ASSESSMENT
•
Coherence: Refers to the ability of data to meet current and
potential user needs at national, regional and international levels.
STATISTICAL SPECIFIC CHARACTERISTICS
IN THE DATA QUALITY ASSESSMENT
• Timeliness and punctuality: refer to the
time-lag between data collection and
dissemination.
• Accessibility and clarity : require an
organization of data structure to have easy
access to the data and metadata.
PANORAMA REPORTS I & II
• Periodical Panorama Reports” are written by each country to
understand the current situation of national statistics systems.
•
The Panorama Reports provide an overview of the institutional,
legal, technical and operative aspects of national food and
agriculture statistics.
CountrySTAT STATISTICAL REFERENCE DOCUMENTS
• Statistical Reference Manual
• CountrySTAT Concepts, Definitions and Classification
• International Classifications
• CountrySTAT e-learning course
THANK YOU
13/04/2015
Statistics Division, FAO Rome-Italy