DESK STUDY ON DISTRICT SELECTION CRITERIA

BUILD AFRICA KENYA

DESK STUDY ON DISTRICT SELECTION CRITERIA

Developed by: BAK Programme Staff

Date: 22nd April 2014

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TERMS OF REFERENCE

1.0 Introduction

Build Africa Kenya (BAK) is a non-governmental and non-profit making organization whose support to

poor and marginalized communities in Kenya traces back to 1997. The organization’s vision is to facilitate

young persons in rural Kenya to improve the quality of education while enabling families to secure

sustainable livelihoods. BAK currently operates in Mwala and Kalama districts within Machakos County,

Ramisi in Kwale County and Gilgil district in Nakuru County.

Over the last seven years of its work in various parts of Kenya, BAK gained increased understanding of

its operational areas, communities, stakeholders and learnt many invaluable lessons that continue to

inform the relevance and effectiveness of its programming. The organization is therefore well placed and

poised to scale up its operations into new areas within the country. In line with its current strategic

priorities, BAK is seeking to undertake a desk study that will guide the selection of districts within which

the organization will expand its work. The desk study will be guided by BAK’s District Selection Criteria

(Annex I).

2.0 Aim of the Study

 Provide an overall picture of key Human Development Indexes in all districts and Counties in

Kenya. Establish the statistical trends and ranking in education within all districts and Counties

in Kenya.

 Establish the livelihoods status among communities within all districts and Counties in Kenya

 Provide a statistical justification for BAK’s choice of districts/Counties for growth in its education

and livelihood programming.

3.0 Methodology

The primary method of study will be secondary data collection and review. Data on the outlined

indicators will be gathered through a desk study on key documents (see Annex I). The exercise will be led

by a BAK Lead staff supported by a consultant. The consultant is expected to complement national with

international data. The sources of data should not be more that 4 years old. Where the only key source is

more that 4 years old, the study should indicate the year of publication. In such a case, the year of such

documents should be indicated in the consultant’s report. Collected data will then be analysed and

triangulated.

4.0 Scope of Study

The study will be comprise of two parts. Part I will entail desk study on HDI and trends on education and

livelihoods, analysis of the collected data as well as prioritization and selection of 25% bottom districts

based on HDI, education and Livelihoods indicators. Part II will comprise further desk study on the 25%

bottom districts to cover additional information on gender inequality/disparity, security, logistics and

partnerships. The 25% bottom districts will further be prioritized and the results used to inform BAK

growth in programming. The 25% bottom districts will be agreed upon between the BAK lead staff and

the consultant.

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The study should be complete within 10 consultancy days. This will include data gathering through desk study, analysis, interpretation, report writing and submission to BAK.

5.0 Deliverables

A report showing the ranking of ALL the districts in Kenya in relation to various HDIs, education and livelihood indicators, gender, security and logistical indicators, key documents used in the study (include years of publication), and recommendation of the most needy 25% bottom districts as per combination of HDI, education, livelihood, gender, and security indicators .

6.0 Required Qualifications, Skills and Experience

The ideal person will be one trained in social science research although other academic backgrounds with extensive experience in desk study will be considered. She/he should have a good understanding and preferably experience of development issues in Kenya. Conversance with key HDI especially education, Livelihoods and gender in Kenya, coupled with access to or licences to access private Government of Kenya or various ministries’ key documents will be an advantage. The person should have good data analysis and interpretation skills.

7.0 Submission of Proposal

a) The technical proposal should cover:-

 Bio-data report (for company or individual)

 Understanding and interpretation of the consultancy assignment

 Approaches/Methodology to be used and how these will address the study objectives outlined in 2.0 above

b). The financial proposal should cover;-

 Fees or remunerations for the whole exercise – Part I, Part II and total cost of study.

 Terms of payment

Interested persons/firms who meet the above requirements are requested to submit a technical proposal detailing proposed methodology and how each object of the study will be met, and a financial proposal for the assignment by 15 June to the following contact:

Name: Opiyo Makoude

E-mail: Makoude@build-africakenya.org

Tel (Office): +254 734022822/712588025;

Build Africa Kenya

Off Naorbi – Machakos Road; Next to Machakos Teachers College; P.O. Box 1259-90100 Machakos, Kenya

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Anne I: District Selection Criteria

Criterion

Particular Areas/issue of Interest

Source of Data

Remarks

1. HDI indicators

 Poverty indices (disaggregated by sex),

 Health indicators (i.e. Life expectancy, infant mortality, under-5 mortality, maternal mortality),

 Education and literacy rates,

 Income levels /Standards of Living

 Child welfare – Child abuse cases, child labour

 UNDP (Kenya/Uganda),

 Kenya/Uganda National Bureau of Statistics Report

 Kenya/Uganda Ministry of education, Health, Gender etc annual reports

Health, income and literacy indicators will be treated as ‘proxy’ levels of poverty since most poorer areas have worse off health and low income indicators

1. Education Indicators

 Literacy and Numeracy levels (children and adults)

 School Enrolment rates (Boys and girls) – primary, secondary, tertiary (???_

 Retention Rates in primary and secondary (Boys/girls)

 Numbers of schools (primary)

 Pass rates at primary seven (Uganda) and eight (Kenya) and overall district performance in national examinations (grades seven/eight).

 Ministry of Education reports;

 UNESCO/UNICEF Reports

 UWEZO reports

This will be triangulated with other critical factors such as income levels, health indicators etc.

1. Livelihood Indexes

 Types of livelihoods – animals, types of houses, sources/types/levels of income etc.; Type/Source of labour – adults, children, hired etc

 Availability of financial services; Markets accessibility and availability

 Agriculture-business - % of population involved, income levels

 Levels of income (HHs and district levels) compared to National figures

 Occurrence of disasters in the districts like floods, epidemics etc

 National Census reports;

 Ministries of agriculture, /livestock/Fisheries etc annual reports

 Office of the Prime Minister (Uganda)

%age of Population involved in small scale farming and level of income are pointers to poverty; Children as source of labour could be indicator of child labour/CP issue.

1. Gender Inequality Index –

 Indices of inequality disaggregated by sex and age across key development parameters (especially in rural vs urban)

 Inequality – especially in income, employment, education, Household heads

 Gender Bases Violence cases

UN Women, UNFEM, Country Household Census Reports, Government Gender and Social development relevant ministry reports, Police reports

Gender disparities/inequality in key economic activities, employment and education is a pointer to poverty status.

1. Security Indexes

(Ranked 1-5; each level of ranking to be defined)

 Ratio of police force to citizens

 National and District criminal prevalence

 Evidence of security base within district/county structure

 Safety of staff, equipment and other property

 Presence/ absence of rebel activities/ insurgencies

Police records; Local administration, institutions (NGOs, Churches, Mosques, schools etc), Media report; Community knowledge, media reports etc

Insecurity can heighten the costs of operating in a region, staff safety may be compromised;

1. Logistics Indexes

 Contiguity of operational areas/districts/Counties,

 Road networks/Number of tarmac and earth roads

 Size/expansiveness of areas, terrain and topography; degree to which BAK is able to ‘spread out’ in a district without losing quality and depth of operations

National House Hold Census report; County/District Ministry (Transport, Road and Public Works) reports;

Local knowledge

Areas with poor road networks, hilly terrain, and working in a non-clustered way heighten operational costs

1. Partnership Opportunities

 Stakeholders operating in the district/counties

 Stakeholders involved in education and livelihoods and child protection???

 Government budgetary allocation to districts, Counties/local government bodies; Local revenue collection by local governments

 Ranking of education and livelihood in District/County Plans; Donor prioritization / focus; Academic and Research institutions

Development actors reports, County records on actors

Ministry of Finance, Planning and Economic Development

BAK/ BAU should complement, and not duplicate what others are doing

How to apply:

Interested persons/firms who meet the above requirements are requested to submit a technical proposal detailing proposed methodology and how each object of the study will be met, and a financial proposal for the assignment by 15 June to the following contact:

Name: Opiyo Makoude

E-mail: Makoude@build-africakenya.org

Tel (Office): +254 734022822/712588025;

Build Africa Kenya

Off Naorbi – Machakos Road; Next to Machakos Teachers College; P.O. Box 1259-90100 Machakos, Kenya