TARGETING THE DAIRY
VALUE CHAIN FOR TANZANIA
Mapping for site selection
Isabelle Baltenweck, An Notenbaert,
Jeannette van de Steeg, et al.
Presented by Brigitte Maass
Morogoro, 9 March 2012

MilkIT and More Milk –
Site selection process
• LaF (Milk, meat & fish for the
poor by the poor) strata to
consider
– Peri-urban – not to be
considered for MilkIT project
– Rural to urban
– Rural to rural

Targeting domains
Peri-urban
Rural → urban Urban center
Peri-urban → urban
Rural → rural

MilkIT and More Milk –
Site selection process
• LaF (Milk, meat & fish for the • GIS-based spatial analysis
poor by the poor) strata to – Cattle density → high density
consider areas
– Peri-urban – not to be – Poverty → high poverty areas
considered for MilkIT project – Population → high population
– Rural to urban areas
– Rural to rural – Market access → good access
areas
– Production potential → high
length of growth period (LGP)
areas
– Surplus vs. deficit areas →
deficit areas where there is
potential for increasing supply
through feed interventions.

Preliminary
version – work
in progress
Figure 1: Spatial distribution of livestock production systems in Tanzania

Preliminary
version – work
in progress
Figure 2: Distribution of human population density in Tanzania

Distribution of
human population
density in
Preliminary Tanzania
version – work
in progress
Figure 3: Distribution of the number of people Figure 4: Distribution of the number of people
living on less than $1.25 per day living on less than $2 per day

Market access
Preliminary
version – work
in progress
Figure 4: Travel time (hr) to the nearest town of Figure 5: Travel time (hr) to local markets
50,000 people in Tanzania

Preliminary
version – work
in progress
Figure 8: Bovine density in Tanzania

Figure 8:
Bovine density in
Preliminary Tanzania
version – work
in progress
Figure 19: Length of growing period (in days) for Figure 11: Bovine feed requirements for milk
Tanzania production in Tanzania

Figure 8:
Bovine density in
Preliminary Tanzania
version – work
in progress
Areas with % of exotic cattle summarised by Areas with more than high % (>10%) of exotic
region cattle (dark blue) versus low % exotic (light blue)

Figure 13: Bovine milk
production in Tanzania
Preliminary
version – work
in progress
Figure 15: Surplus - deficit areas for milk Figure 7: Average bovine milk consumption in
in Tanzania Tanzania

Preliminary
version – work
in progress
Mixed production systems with high population densities versus others (arid systems – light green;
humid and temperate systems – dark green; others - grey) – The white areas are therefore areas in
‘rangelands’ or hyper arid and/or areas with low pop densities

Right: Mixed production
systems with high
population densities, and
low market access
versus others
Preliminary
version – work
(arid systems – light green;
in progress humid and temperate
systems – dark green;
others - grey)
Rural production – Rural production –
rural consumption urban consumption
Coloured areas meet 3 conditions: farming systems, Coloured areas meet 3 conditions: farming systems,
high human pop density and high market access (= high human pop density and high market access (=
areas more than 5 hours from large urban centres) areas less than 5 hours from large urban centres)

MilkIT and More Milk –
Site selection process
• LaF (Milk, meat & fish for the • GIS-based spatial analysis
poor by the poor) strata to – Cattle density → high density
consider areas
– Peri-urban – not to be – Poverty → high poverty areas
considered for MilkIT project – Population → high population
– Rural to urban areas
– Rural to rural – Market access → good access
areas
– Production potential → high
• Range of other, more length of growth period (LGP)
qualitative criteria, e.g., areas
– Proportion of improved cattle – Surplus vs. deficit areas →
deficit areas where there is
– Complimentary to other potential for increasing supply
projects (create synergies), through feed interventions.
e.g. IFAD
– Potential partners/
stakeholders
– Site-specific checklist