Syndicate content

Kenya

Kenya’s re-based national accounts: myths, facts, and the consequences

Johan Mistiaen's picture

A month ago, the Kenya National Bureau of Statistics (KNBS) Kenya released a set of re-based and revised National Accounts Statistics (NAS), the culmination of an exercise that started in 2010.  Press coverage, reactions from investors and the public have been generally favorable, but some confusion still looms regarding some of the facts and consequences.  We wrote this blog post to debunk some of the myths.

NAS, including Gross Domestic Product (GDP), are typically measured by reference to the economic structure in a “base” year.  Statisticians sample businesses in different industries to collect data that measures how fast they are growing.  The weight they give to each sector depends on its importance to the economy in the base year.  As time passes and the structure of the economy changes, these figures become less and less accurate.

Re-basing is a process of using more recently collected data to replace an old base year with a new one to reflect the structural changes in the economy.  Re-basing also provides an opportunity to add new or more comprehensive data, incorporate new or better statistical methods, and apply advancements in classification and compilation standards. The current gold standard is the 2008 System of National Accounts (SNA).

Open data on the ground: Kenya’s Data Science

Samuel Lee's picture
How are individuals and organizations taking advantage of the data that governments are publishing? This is part of a series looking at how data are being used for social good.  Last time we covered Nigeria’s Follow the Money Initiative, this time we’re heading to East Africa.

In Kenya, Data Science, LTD (www.datascience.co.ke) is a data analysis and research company providing services to government, local organizations, and businesses. The company seeks to promote greater understanding and use of available data to gain insights for better planning, resource allocation, and entrepreneurship.  This blog post is based on a recent Google Hangout discussion with Data Science, LTD founder Linet Kwamboka.

So what is it like being a data analysis company in Kenya, and what can others learn from Linet’s experience?

Open data roots 
Linet worked on the World Bank supported opendata.go.ke as a project manager in the lead up to the initiative's launch in 2011.  The company works with clients seeking to utilize data to make better decisions.  They include private companies involved in marketing, jobs, retail, and consumer products. With government and civil society clients, the focus is to improve decision-making that lead to better public services and advocacy efforts.

Overcoming gaps in data
Linet has learned that the tasks of sourcing, analyzing, and transforming data into more readily consumed and actionable forms can take a significant amount of effort and time.  In many situations, the data simply do not exist or are out of date.  
 

Between 1960 and 2012, the world average fertility rate halved to 2.5 births per woman

Emi Suzuki's picture
Also available in: العربية | Español

There were more than 7 billion people on earth in 2013. While this is the highest number ever, the population growth rate has been steadily declining, in part due to declining fertility rates.  Tomorrow, Friday, July 11, is World Population Day, and in this spirit, I'd like to talk about a key component of population growth: fertility rates.
 

Figure 1

 

Figure 2

Can our parents collect reliable and timely price data?

Nada Hamadeh's picture
Also available in: 中文 | Español | Français | العربية

During the past few years, interest in high-frequency price data has grown steadily.  Recent major economic events - including the food crisis and the energy price surge – have increased the need for timely high-frequency data, openly available to all users.  Standard survey methods lag behind in meeting this demand, due to the high cost of collecting detailed sub-national data, the time delay usually associated with publishing the results, and the limitations to publishing detailed data. For example, although national consumer price indices (CPIs) are published on a monthly basis in most countries, national statistical offices do not release the underlying price data.

 
Crowd sourced price data

It Takes a Village: Taking Open Data to an Offline Community in Indonesia

Samuel Lee's picture

This is the first of a two-part blog series on offline open data pilots recently conducted in Indonesia and Kenya. Part one focuses on Indonesia, while the subsequent blog post will describe our findings in Kenya. This series is part of a larger project on the demand for open financial data being conducted by the World Bank Group Open Finances program and World Bank Institute’s Open Contracting Partnership.

Meet Gede Darmawan and Gede Sudiadnya, who live in the village of Desa Ban in Indonesia. These two young men were a part of a story of transformation, one that saw them turn from passive receivers of information to active engagers. It was a remarkable display of the potential power of open financial data.

Gede Darmawan (age 17), Gede Sudiadnya (age 22)
Gede Darmawan (age 17), Gede Sudiadnya (age 22)