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Uganda

Exports: coffee, fish and fish products, tea, cotton, flowers, horticultural products; gold

Data depositors:

 CGAP (Consultative Group to Assist the Poor) Financial Inclusion Insights FinScope FSDUganda L-IFT – Low Income Financial Transformation World Bank

Kampala

Capital

Population (2014): 1,862K

Downloads

More downloads
Intermedia - Financial Inclusion Insights – Download
World Bank - Findex Database – Download
National Surveys data (2006) – Download
National Surveys data (2009) – Download

Publications

More publications
Smart Business Intelligence – Download View
Do FSPs in Africa use data to drive their decisions? – Download View
Bridging the gap between researchers and respondents – Download View
Africa's digital platforms and financial services – Download View

GDP by sector

GDP Over time

National Surveys

The National Surveys methodology is a credible and globally accepted process of collecting and analysing financial inclusion data. National Surveys methodology uses a sampling procedure that ensures minimum acceptable levels for national, urban/rural and regional reliable estimates with acceptable margins of error. A multi-stage sampling methodology is applied, which entails selection of enumeration areas (EAs) – from recent census or population estimates using probability proportional to size, followed by the selection of households and the selection of one adult in the selected household using a Kish Grid.

Financial Diaries

The Financial Diaries in Uganda started on 2016/10 and ended on 2017/04. The currency for this country is in Ugandan shilling (USh). The number of households interviewed was , with 588 individual members. The survey was conducted in the Western: Mbarara, Ntungamo, Sheema Central: Kayunga, Mukono, Buikwe Eastern: Iganga, Jinja, Mayuge Eastern: Mbale, Manafwa, Tororo region. Please note that the Financial Diaries are not a nationally representative dataset.

Geospatial data

For Uganda, we have financial location data points, with other additional data layers that you can overlay onto a map, you can also analyze the data based on the selections you have made, bring in national survey widgets onto the map and view demand side data with supply-side data.

Discover Geospatial data