This table provides metadata for the actual indicator available from Uganda statistics closest to the corresponding global SDG indicator. Please note that even when the global SDG indicator is fully available from Ugandan statistics, this table should be consulted for information on national methodology and other Ugandan-specific metadata information.
| Goal |
Goal 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
|---|---|
| Target |
Target 9.3: Increase the access of small-scale industrial and other enterprises, in particular in developing countries, to financial services, including affordable credit, and their integration into value chains and markets |
| Indicator |
Indicator 9.3.1: Proportion of small-scale industries in total industry value added. |
| Metadata update |
November, 2021 |
| Related indicators |
9.3.2 |
| Organisation |
Ministry of Trade, Industry and Cooperatives (MTIC) |
| Contact person(s) |
Brenda Alobo Opolo |
| Contact organisation unit |
Policy and Planning |
| Contact person function |
Statistician |
| Contact phone |
+256 778 927887 |
| Contact mail |
Plot 6/8, Parliamentary Avenue, P. O. Box 7103, Kampala, Uganda |
| Contact email |
brenda.alobo@mtic.go.ug; ao.brenda25@gmail.com |
| Definition and concepts |
Proportion of small-scale industries in total industry value added is the share of manufacturing value added of small scale manufacturing enterprises in the total manufacturing value added. An establishment is defined as an enterprise or part of an enterprise that is situated in a single location and in which only a single productive activity is carried out or in which the principal productive activity accounts for most of the value added. In the case of most small-sized businesses, the enterprise and the establishment will be identical. Some enterprises are large and complex with different kinds of economic activities undertaken at different locations. The value added at basic prices is calculated as the difference between the gross output at basic prices and the intermediate consumption at purchasers’ prices. The valuation of value added closely corresponds to the valuation of gross output. |
| Unit of measure |
Number |
| Classifications |
International Standard Industrial Classification of all Economic Activities (ISIC) Revision 4 and International Standard Industrial Classification of all Economic Activities (ISIC) Revision 3 |
| Data sources |
Administrative data |
| Data collection method |
Data is collected from official publications and official websites (www.mtic.go.ug). |
| Data collection calendar |
Quarterly |
| Data release calendar |
Between July and August annually |
| Data providers |
All stakeholders in manufacturing, among them MTIC, UIRI, UMA, UIA, UFZA and UBOS |
| Data compilers |
MTIC |
| Institutional mandate |
“To oversee the development and maintenance of the TIC statistical system that exists to produce, co-ordinate, supervise, and disseminate official statistics of TIC in conjunction with MDAs” |
| Rationale |
The indicator addresses Uganda’s challenge of having a manufacturing sub-sector that is small, uses basic technology and creates low quality and quantity of gainful jobs. |
| Comment and limitations |
Industrial sector is largely informal so results are skewed. Besides, there is a limited geographical coverage and regional representativeness due to low budget ceiling to carry out the exercise. |
| Method of computation |
The proportion of “small-scale industries” in total value added is an indicator calculated as a share of value added for small-scale manufacturing enterprises in total manufacturing value added: |
| Validation |
Ministry of Trade Industry & Cooperatives engages with several stakeholders in the manufacturing sector in Uganda in regular consultations to ensure the data quality. |
| Methods and guidance available to countries for the compilation of the data at the national level |
None |
| Quality management |
No systems and frameworks for quality management. |
| Quality assurance |
A trend analysis is conducted to check data quality and consistency before the data is dissemination. |
| Quality assessment |
The quality assessments are only done by evaluating the work plan. But no specific quality standards criteria. |
| Data availability and disaggregation |
Data availability: Data is readily available from official websites and publication. Time series: Data is collected on a quarterly basis to inform the quarterly reports. Data disaggregation: The data can be disaggregated by size of industry, region. |
| Comparability/deviation from international standards |
Use of internationally recognized and accepted concepts, classifications and methodology will ensure coherence and comparability of the data. |
| References and Documentation |
MTIC Ministerial Policy Statements MTIC Annual Performance Reports MTIC Annual Sector Reviews https://unstats.un.org/sdgs/metadata/ |
| Metadata last updated | Feb 12, 2026 |