Livestock Data Collection analysis and Use in Tanzania

1
Livestock Data Collection analysis and Use in
Tanzania

• Presenter
• L. Nsiima (MLFD).

Workshop New Perspectives on Livestock
Data Organized by the Tanzania Ministry of
Livestock and Fisheries Development in
collaboration with the WB-FAO-ILRI Livestock Data
Innovation Project
Arusha, Tanzania, 10-11 August 2011
2
Mandate of the Ministry of Livestock and
Fisheries Development (MLFD).

• Mandate of MLFD is overall management and
  development of livestock and fisheries resources
  for sustainable achievement of the
• Millennium Development Goals
• National Strategy for Growth and Reduction of
  Poverty
• Improved Livelihood of Livestock and Fisheries
  Dependent Communities and
• Food Safety Security without compromising
  Animal Welfare and Environmental Conservation.

3
Overarching rationales for collections / using
livestock related data

• Overarching rationales for collections / using
  livestock related data is
• to have evidence-based policies and strategies
  and decision-making (which have increased demand
  for good statistical information)
• to monitor the contribution of livestock industry
  in the implementation of the National Strategy
  for Growth and Reduction of Poverty
• essential for management and control of the
  livestock industry (which continuously requires
  decision-making in relation to production,
  reproductive management, marketing and trade and
  animal health).

4
Livestock-related data at MLFD
LEVEL DATA / INDICATORS
PRODUCTION RELATED DATA Major data collected on livestock production- LIVESTOCK NUMBERS AND COMPOSITION Livestock numbers per species of animals Livestock numbers by economic functions Livestock numbers by breed Livestock composition LIVESTOCK PRODUCTS Number of animals slaughtered Quantity of meat produced (tonnes) Milk production (litres) Quantity of eggs produced Number of hides and skins produced. Animal Health Feed data
5
Livestock-related data at MLFD
LEVEL DATA / INDICATORS
PRODUCTION RELATED DATA A list of major data collected on livestock production LIVESTOCK NUMBERS AND COMPOSITION Livestock numbers per species of animals Livestock numbers by economic functions Livestock numbers by breed Livestock composition LIVESTOCK PRODUCTS Number of animals slaughtered Quantity of meat produced (tonnes) Milk production (litres) Quantity of eggs produced Number of hides and skins produced.
6
Livestock-related data at MLFD
LEVEL DATA / INDICATORS
MARKETING / MARKET RELATED DATA Data collected related to marketing and markets LIVESTOCK AND LIVESTOCK PRODUCTS (MARKETING) Average price of live animals per species, grade of animal and type of market LIVESTOCK AND LIVESTOCK PRODUCTS (TRADE) Live animals import/export Livestock products import/export Livestock inputs import/export
7
Livestock-related data at MLFD
LEVEL DATA / INDICATORS
CONSUMPTION RELATED DATA Data collected on consumption of animal food CONSUMPTION OF LIVESTOCK PRODUCTS Quantity of meat consumed per capita Quantity of milk consumed per capita Quantity of eggs consumed per capita
8
Methods of livestock data collection

• Livestock data and statistics are generated
  mostly by a secondary sources including
  administrative records, surveys and censuses.
• Who decides which variables or indicators are
  collected?
• Administrative records indicators/variables
  decided by Local Governments
• Surveys and Censuses - indicators/variables
  decided by the National Bureau of Statistics in
  collaboration with MLFD.
• Other data indicators/variables decided by
  institutions (e.g. Import/Export by Tanzania
  Revenue Authorities).
• Who collects the data?
• Administrative records collected by Local
  Governments
• Surveys and Censuses - collected in
  collaboration with the National Bureau of
  Statistics and Agriculture Line Ministries.
• Other data are collected from institutions
  (e.g. Import/Export by Tanzania Revenue
  Authorities, live animals prices by Ministry of
  Industry and Trade).

9
Methods of livestock data collection

• Livestock data and statistics are generated by a
  secondary sources including administrative
  records, surveys and censuses.
• For administrative records
• Data are collected by LGAs in all districts using
  extension staff,
• MLFD retrieve data as a mutual understanding with
  LGAs.
• Currently, Agricultural routine data system being
  tested in four districts.
• For surveys and censuses.
• NBS and ASLMs through collaboration collects the
  data at Household Level based on designed sample
  size.
• Surveys are done annually while censuses are
  organized after every 5 years.
• Interviewing methods are used using structured
  questionnaires.
• The Government and donor funds pays for data
  collection?

10
Methods of livestock data collection

• Who first cleans / processes the data?
• Administrative records data is cleaned by
  Local Governments and no further processes except
  putting in required format.
• Surveys and Censuses - data is cleaned by the
  National Bureau of Statistics in collaboration
  with MLFD.
• Other data data is cleaned by source
  institutions except putting in required format.
• What data / indicators and in what formats arrive
  at your institutions?
• Animal health
• Water and pasture
• Livestock infrastructure (dip tanks, slaughter
  slabs, water dams, charcos)
• Hides and skins production
• Artificial insemination
• Livestock movements
• The data is retrieved from quarterly, annual
  reports, ad hoc requests. Normally data are in
  hard copies.

11
Livestock data analyses

• Analyses done with the livestock data collected
• Do you organize the data? In what formats?
• Data are always organized in Ms. Office excel
  formats.
• Do you build your own indicators? On what basis?
• Indicators are built on specific demand, with
  consideration of the MLFD indicators
• What is their level of spatial and time
  aggregation
• country, regions, districts, and on annual,
  quarterly, monthly.

12
Livestock data analyses

• Do you use livestock data collected by other
  organization?
• YES
• Do you elaborate those data?
• YES
• Do you make joint analyses of the data collected
  by your own institution and those collected by
  others?
• NO

13
Livestock data uses

• Main three (or less) uses of livestock-related
  data,
• 1st use of livestock-related data
• Policy formulate policies and implement sector
  projects and programmes.
• 2nd use of livestock-related data
• Planning appraisal/monitoring and evaluation
  reporting.
• 3rd use of livestock-related data
• Management general management of the sector
  issues (Environmental, drugs and vaccines, water
  for livestock, pastures).

14
Livestock data storage

• Do you store the livestock-related data you
  collect?
• Yes
• How do you store the livestock data you collect?
• Almost all collected data are stores in a
  computer readable form (MS Office Excel, Word),
  in different file without a database system for
  their easy management.

15
Livestock data dissemination

• Dissemination of the livestock related data MLFD
  collects
• Are all raw livestock-related data you collect
  available to the general public or only some of
  the data / indicators / summary statistics are
  available?
• only some of the data / indicators / summary
  statistics are available.
• Are data disseminated through databases / reports
  / other means?
• Ministrys website (http//www.mifugo.go.tz).
• Annual Basic Data booklet.
• Websites - LIMS, TSED, CountryStat
• Budget speeches
• How people can access your livestock data/
  indicators?
• Internet by accessing website, reading reports.
• Are your livestock-related data available for
  free / for a fee?
• Data are for free.

16
Livestock data issues

• Main constraints related to
• Livestock data collection
• Lack of coordination and cost-effectiveness
• Inadequacy in designing a particular set of data
  as official data for the sector because of
  multiplicity of sources
• Insufficient budgetary allocations
• Weak field organization missing links
• Livestock data analyses
• Lack of trained and skilled personnel in
  livestock data analysis
• Livestock data uses (both those collected by your
  own institutions and by other institutions)
• Adequacy of available data (inaccurate,
  inconsistent through time and between sources ,
  not complete, data not put in optimal use by data
  users , lack timeliness, increasing demand)
• Livestock data storage and dissemination
• Data are scattered among different sources and
  there is no one stop center for livestock data

17
Options to improve livestock data

• Main options to address identified constraints
  and improve quantity / quality of the livestock
  data needed to fulfill MLFD mandate
• Options to improve livestock data collection
• Data harmonization within livestock production
  (MLFD stakeholders)
• Conducting a census for livestock on complete
  enumeration basis bench mark
• Conducting a dialogue between data producers and
  users to strengthen collaboration among
  stakeholders
• Review available indicators.
• Options to improve livestock data analyses
• Capacity building of staff equip staff with
  adequate knowledge and skills
• Provide incentives to staff in data production
  chain.
• Building capacity of resource hardware and
  software availability.
• Options to improve livestock data storage
  dissemination
• Review data collection, analysis, storage and
  dissemination system for livestock sector.
• Establishing a comprehensive database management
  system.

18
Joint options to improve livestock data

• Opportunities for collaboration with other
  institutions to improve the livestock data you
  need to fulfill MLFD mandate
• Harmonization of data system (collection,
  analysis and interpretation for policy
  formulation hence sector growth and poverty
  reduction).
• Strengthen capacity in data and information
  sharing among major livestock data producers
  (databases and dissemination one stop center
  and training of staff).

19
Thank you