What are Livestock Indicators?
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Washington, DC
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In the development community indicator
is a term more frequently used than 'statistic',
as it attracts more attention from potential users,
including decision-makers and the media. Indicators
transform and communicate data. Data are pieces of
information that are either directly observed and collected
(primary data) or retrieved from other sources (secondary
data), and then processed through appropriate methodologies
to produce indicators. Simple indicators are aggregations of
data standardized by some time, space, and or other
dimensions. Examples for livestock include the number of
cattle in a country on a given day; the average number of
animals affected by a disease in a given country each year;
or the value of live animals exported from a country in a
given year. Livestock-related indicators are used for a
range of purposes, including analyses of sectors' or
value chains' performance, monitoring and evaluation of
interventions in the form of policies, programs and
projects, and comparisons between countries and sectors.
Decision-makers look at indicators from three main
perspectives: level of the indicator, showing its status;
dispersion or concentration of the indicator, which
represents the variability of its status; and trends in the
indicator over time, space, or other progressions relevant
to the decision being made.
Palabras clave
AGRICULTURE, ANIMAL, ANIMAL DISEASES, ANIMAL HEALTH, ANIMAL HEALTH SERVICES, ANIMAL PRODUCTION, ANIMALS, BALANCE SHEETS, BUTTER, CARCASS WEIGHT, CATTLE, CATTLE POPULATION, COMMON GROUND, CONCEPTUAL FRAMEWORK, COWS, CROPS, DATA COLLECTION, DECISION-MAKING, DISCUSSION, DISEASE PRESSURE, DOCUMENTS, ECONOMICS, EGGS, EXTENSION, FARMERS, FISHERIES, FOOD IMPORTS, GOATS, HIGHLANDS, HOUSEHOLD INCOME, INCOME, LIVE ANIMALS, LIVE WEIGHT, LIVESTOCK, LIVESTOCK DATA, LIVESTOCK DEVELOPMENT, LIVESTOCK POPULATION, LIVESTOCK POPULATIONS, LIVESTOCK PRODUCTION, LIVESTOCK PRODUCTS, LIVESTOCK SECTOR, LIVESTOCK STATISTICS, MEASURES OF DISPERSION, MEAT, MEAT PRODUCTION, MILK, MILK PRODUCTION, NUTRITION, PIGS, POULTRY, PRACTITIONERS, PRIVATE SECTOR, PRODUCTIVITY, RANDOMIZATION, RAW DATA, RURAL DEVELOPMENT, SAMPLE SURVEYS, SHEEP, SLAUGHTERHOUSES, STATISTICAL CLASSIFICATION, TURKEYS, VARIABILITY, VARIETY, WOOL