Background

In Kenya, there are over 10 million youth in the active labour force with 31.45% either underemployed on unemployed. The under-employed work less than 40 hours a week and are likely willing to work more hours given the opportunities. The unemployed are not working but are available and looking for work. The 2016 KIHBS Survey observed the highest rates of labour underutilization among the under-employed and unemployed youth were aged between 15 to 29 years. Moreover, those within this bracket who are employed only make a median wage of KES 6000. This presents a challenge for majority of school and university youth as well as young families who find themselves under or slightly above the poverty line. 

Although there have been and continue to be employment-generating initiatives, it is unclear whether they are effectively targeting the vulnerable demographics in the correct geographies. Subsequently, there is a need to identify gaps, that is, the location and demography of under- and unemployed youth that are underserved by these initiatives.


What is this tool: Highlights what the tool is about?

This data dashboard was developed to visualize data on youth unemployment based on county economic profiles, youth demographic data and youth employment initiatives in Kenya. The aim is to provide an understanding of the under- and unemployed youth and present insights on underserved population and areas to facilitate more targeted employment interventions by government agencies, private sector, and donor organizations. The development of this tool was undertaken by Dalberg under partnership with The Mastercard Foundation for the Office of the President’s Policy and Strategy Unit (PASU).


Who uses the tool: Gives information on the intended users: 

  1. Government Agencies
  2. Donor Organizations
  3. Private Sector Companies
  4. Public


How to use the tool: This is a manual on how to use the tool

This web tool is structured into four interactive dashboards, which are essentially use cases for identifying the overall youth labour market and the gaps in employment interventions.


Geographic:

This use-case provides a breakdown of the youth labour information at the national, regional and county levels. By selecting one or more county checkboxes, the following information about the selection is displayed:

  • Under- and unemployed of the active youth labour force by gender and education level. Values are provided in absolute number and percentage.
  • Proportion of youth employed within the dominant economic sectors (Accommodation, Wholesale & Retail, Education, Manufacturing, Construction). Others include the lesser-employing economic sectors of Agriculture, Mining, Electricity & Water, Construction, Transportation & Storage, Information & Communication, Financial Institutions, Public Administration, Professional Administration, Health, Arts & Entertainment, 
  • Near diverse economic opportunities is the proportion of the population that is near economic activity and is derived from Nighttime Lights, a proxy measurement of economic activity.
  • County gross domestic product (GDP) per capita in comparison to the national GDP per capita.


Demographic:

This use-case provides a breakdown of the youth population. Here, the active labour force population is proportioned by settlement type, gender and education level such that:

  • Active labour force is the economically active youth population which is grouped into Employed and Unemployed youth. Employed youth is further grouped into: 
  • Under-Employed Youth who work less than 40hrs a week but are willing and available to work more hours.
  • Unemployed Youth who don’t have employment but are actively seeking opportunities.
  • Settlement type is the area where the active labor force population resides. This is urban or rural.
  • Gender in terms of male and female.
  • Education level include primary, secondary and tertiary.

A single selection or any combination of selections can be made to visualize the data on two map displays. The first display (left) shows the absolute number while the second (right) shows the percentage. Additionally, selecting a county on the map, the county demographic table will be populated by values of the selection. This table shows demographic values and the percentage of the active population. Column visibility button allows addition or removal of columns to display on the demographic table which can be locally exported as CSV or PDF. Maps can be exported as PDF.


Employment Initiatives:

This use-case provides a breakdown of the current and ongoing initiatives by their type, scale, gender and education focus. Multiple selection between the four categories can be made and the results will be displayed on the county map. The table is generated with summary information of the initiatives based on the selection. Column visibility button allows addition or removal of columns to display on the initiatives table which can be locally exported as a CSV or PDF. The map can be exported as PDF.


Gap Analysis:

This section highlights the underserved and unserved youth population by the initiatives