Category Archives: Tanzania Petro Hub


Organised and delivered by REPOA and Natural Resource Governance Institute (NRGI) from 03 to 07 July 2017 at REPOA, Dar es Salaam. The training was a hands-on “learning from practice” workshop that focused on building the understanding of the links between, and the dynamics of, extractives governance and the implementation of the Second Five-Year Development Plan (FYDP II). The training aimed to improve participants’ knowledge of not only policy options and tools to achieving the objectives of the plan, but of also the inherent challenges…read more here

Progress in data availability for the petro programme

An increasing amount of data for policymaking and public engagement in Tanzania are being made available in the Tanzania Petro Hub ( ). Below are the latest ones:

The working paper at (, entitled “Policy Making in the Tanzanian Petro State: Building a Statistical Basis” has taken a long time in construction since the original concept for the Petro Data Hub comprises several priorities that will have to be balanced against each other. First, it should serve many different interests like data demands of researchers within the petrostate programme but additionally also the needs of the wider research community, civil society and other individuals in Tanzania.  Second, since the petro-programme covers both the petroleum (gas) sector itself but importantly also its social and economic effects on Tanzania, it could potentially cover nearly all social, economic (and other) statistics and thus overlap completely the data disseminated by NBS and all other statistics producing institutions in the country. The line taken has been to cover wide areas of statistical information but restrict the data presented to those that may be said to cover areas of interest for the research programme.

In many areas, the present availability of relevant data is poor.  This was shown in the first part of the paper where we examined and presented accessible data including the resource base and its exploitation spatially and geologically; then investments, operators and production, including a brief historical overview. The economic contribution of the gas resource in terms of GDP, investment, external trade and balance of payments, employment and fiscal contribution as well as social contribution was also covered.

The Data Hub is structured as a number of Groups, presently in all 22 (some more may be necessary in future). The actual composition of groups can be seen in Each group will contain one or more datasets and accompanying metadata.

The Data Hub will not only comprise numerical data but also link to a number of important legal and policy documents as well as governance and institutions. In addition, aspects of petroleum geology and resources including territory issues are included.  Quantitative data will include exploration and investment in the petroleum industry, information on various types of capital goods (e.g. petroleum pipelines) for the industry. Current statistics on petroleum (gas) production and sales and foreign trade will be included, as well as activities in other and petroleum related industry like energy, production, investment and consumption. Overall effects of the petro industries will be gauged in a section on national accounts, including financial and budget issues as well as quantitative analysis and models for the petroleum industry. Finally, the wider issues like social developments and poverty as well as environment information and petro related politics in Tanzania, like opinion polls on petroleum issues will be included.  A section on international comparative statistics will have links to international databases for comparison purposes.

It is hoped that a useable database can be presented at the ARW 2017 in Dar es Salaam. The Data Hub will continue to be “work in progress” as new datasets will be added to it as they become available. The Data Hub will have to be based completely on secondary statistics, as the data component of the petro programme does not have means to collect primary data.