A business plan for girls

947 views

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
947
On SlideShare
0
From Embeds
0
Number of Embeds
93
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

A business plan for girls

  1. 1. A Business Plan for Girls: A Quick 7 Steps1. Identify hotspots of socially-excluded, economically poor, at-risk girls, such as:• Girls in sub-national districts with high levels of child and forcedmarriage•Girls 10-14 out of school or significantly behind grade for their age,especially those living apart from one or both parents•Girls and young women 10-24 in high HIV zones•Married girls, subject to high levels of unprotected sex, putting them atrisk of sexually-transmitted diseases including HIV, facing substantialpressure for early and rapid childbearing
  2. 2. 2. Generate maps by sub-region and by urban community Percent of Girls 10-14 not in school and not living with either parent in Mozambique (137,768 )Source: “The Adolescent Experience In-Depth: Using Data to Identify and Reach the Most Vulnerable Young People” New York:Population Council, 2009. http://www.popcouncil.org/publications/serialsbriefs/AdolExpInDepth.asp
  3. 3. 3. Pay Intelligent Attention to Numbers and Intensity of RiskThe focus on sub-national regions andspecific communities with highconcentrations of effected girls is vital to theefficient targeting of scarce resources. Wemust finally get over a sometimes exclusive,“big country” focus. The focus on bigcountries carries with it the assumption thatthey bring automatic leverage and numbers.
  4. 4. Consider This: There are Large Populations of Girls who are Out-of-School and at High Risk who Do Not Live in Big Countries Region Estimation of girls 10-14 who are out of school and “off-track” Francophone West Africa (Benin, Burkina Faso, Guinea, Mali, Niger, Senegal, Togo) 2,737,575 Central America 220,775 (Guatemala, Honduras, Nicaragua) Large countries Bangladesh 457,156 Ethiopia 2,418,472 India 12,965,088 Kenya 237,649 Nigeria 2,817,995 Tanzania 375,680Sources: United Nations Population Division. World Population Prospects.: The 2008 Revision. Latest DHS data available for given countries cited from “The AdolescentExperience in-Depth”, by Population Council. Tabulations by Sarah Engebretsen.
  5. 5. Step 4: Within your potential project locations, determine number of eligible girls in key categories to inform recruitment plans and set threshold goalsDuring the Burkina Capacity Building Workshop in 2010, a participant from Benin created a table to illustrate the categories of vulnerable girls in Benin per region, and thereby number of eligible program beneficiariesSource: Joseph Avocat, UNFPA Benin. “Apercu des groupes cibles Benin.” June 2010
  6. 6. Step 5: Project Investment Requirements A notional range of costs for girl programming based on five programs in five different settings which had reach some scale generated a range (heavily conditioned by context) of per hour per girl from $0.29 to $2.45 with an average cost of $1.47 The $0.29 figure was from a fairly “low-touch” girl savings program and the $2.45 figure was from a relatively ambitious second-chance schooling program for girls Effective program-based intervention can be as little as 31 hours. These costs vary by program ambition and type but it is not unusually costly to produce measurable results at level of the girl, some of which can, if scaled effectively, translate into changing community norms and indicators.Source: Editors: Sewall-Menon, Jessica and Bruce, Judith. “The Cost of Reaching the Most Disadvantaged Girls:Programmatic Evidence from Egypt, Ethiopia, Guatemala, Kenya and Uganda, and South Africa.” Forthcoming
  7. 7. Step 6: Identify Key Stakeholders Willing to MakeSequential Investments which Reach at Least One-Third of Girls in Each Key Category in Highly Affected Zones Country Zone Category of Girls Donor Niger A Girls 10-14 at risk X of child marriage Mozambique B Out of school girls Y 8-16 at risk of poor reproductive health outcomes Tanzania C Bar girls 16-20 at Z risk of sexual and economic exploitation
  8. 8. Step 7: Count Access and ResultsEstimate the girls who are direct programbeneficiariesEstimate the indirect program beneficiaries--girls in relevant geographic and socialrelationships to girls most directly reached
  9. 9. We can think of access for a girls’ program (like a healthservice) as having both direct and indirect beneficiaries as measured in geographic and social access Another 400 girls 10-14 3 km radius 200 Another 600 girls 8-9 & 15-18 Girls
  10. 10. Scaling Out and Up: A state of 3 million people of which 7% are girls 10-14 (210,000 girls) has 100 places which serves 200 girls 10-14 each per year (about a 1/3 of thegirls in the community within the age segment). These programs have 20,000 direct beneficiaries and another 100,000 girls living in range of a girls’ platform. v v Total program access: v 20,000 girls w/direct access v + 40,000 w/ indirect access same age v v 60,000 w/ indirect access and older v v v v 120,000 girls (10-19) v v v v v v v v

×