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 8: Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all |
|---|---|
| Target |
Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial services |
| Indicator |
Indicator 8.3.1: Proportion of informal employment in total employment, by sector and sex |
| Metadata update |
November, 2021 |
| Related indicators |
1.1.1, 1.3.1, 8.5.2 |
| Organisation |
Uganda Bureau of Statistics |
| Contact person(s) |
Sharon Apio |
| Contact organisation unit |
Labour Statistics Unit |
| Contact person function |
Senior Statistician |
| Contact phone |
+256 782 770851 |
| Contact mail |
P.O. Box 7186, Kampala |
| Contact email |
sharon.apio@ubos.org |
| Definition and concepts |
Definition This indicator presents the share of employment which is classified as informal employment out of total employment, and separately including agriculture and in non-agriculture. Output measures used in the numerator of this indicator (Gross Domestic Product) is obtained from the production side of national accounts and represent the GDP at market prices for the aggregate economy (adjusted for inflation, in constant prices). Employment comprises all persons of working age who, during a short reference period (one week), were engaged in any activity to produce goods or provide services for pay or profit. Informal employment comprises persons who in their main or secondary jobs were in one of the following categories:
For the purpose of classifying persons into formal or informal employment for this indicator, only the characteristics of the main job are considered. An enterprise belongs to the informal sector if it fulfils the three following conditions:
|
| Unit of measure |
Percentage |
| Classifications |
The breakdown by sector is based on the International Standard Industrial Classification of All Economic Activities (ISIC)-Rev 4. |
| Data sources |
The Uganda National Household Surveys(UNHS) |
| Data collection method |
Data collection includes; survey planning, consultative user needs assessment meetings, survey and sampling design, questionnaire development, pretesting and finalization of questionnaires, recruitment and training of field staff, field data collection and capture, data processing, management, checking and analysis, report writing and production. At each stage, the survey conformed to international best practices in survey implementation. Sample Design The sample was designed to allow generation of separate estimates at the national level, for urban and rural areas and for fifteen sub-regions of Uganda. A two-stage stratified sampling design is used. At the first stage, EAs are grouped by districts of similar socio-economic characteristics and by rural-urban location. The EAs were then drawn using Probability Proportional to size. At the second stage, households which are the ultimate sampling units are drawn using Systematic Random Sampling. The total numbers of the EAs are selected from the National Population and Housing Census (NPHC) which constituted the sampling frame. Training and data collection A team of field supervisors and interviewers are recruited and trained for the main survey. The main approach of the training comprised instructions in relation to interviewing techniques and field procedures, a detailed review of the data collection modules, tests and practice using hand-held Computer Assisted Interviews (CAPI) devices. The training also includes interviews and field practice in selected EAs outside of the main survey sample. Team supervisors are further trained in data quality control procedures and coordination of field activities. METADATA HANDBOOK FOR SUSTAINABLE DEVELOPMENT GOALS 2021 211 Prior to the main fieldwork, the data collection module are pretested to ensure that the questions are clear, flowing and easily understood by respondents. |
| Data collection calendar |
UNHS; Every after 3 years |
| Data release calendar |
2023/24 |
| Data providers |
Uganda Bureau of Statistics |
| Data compilers |
UBOS |
| Institutional mandate |
The UBOS Act 1998 provides for the development and maintenance of the National Statistical System (NSS) to ensure collection, analysis and publication of integrated, relevant, reliable and timely statistical information. |
| Rationale |
In cases where social protection coverage is limited, social security benefits (such as unemployment insurance) are insufficient or even inexistent, and/or where wages and pensions are low, individuals may have to take up informal employment to ensure their livelihood. In these situations, indicators such as the unemployment rate would provide a very incomplete picture of the labour market situation, overlooking major deficits in the quality of employment. Statistics on informality are key to assessing the quality of employment in an economy, and are relevant to developing and developed countries. |
| Comment and limitations |
The considerable heterogeneity of definitions and operational criteria used by countries to measure informal employment greatly hinders the international comparability of statistics on informality. |
| Validation |
Trend and independent analysis Hold data validation meetings with stakeholders prior to dissemination |
| Methods and guidance available to countries for the compilation of the data at the national level |
Resolution concerning statistics of employment in the informal sector, adopted by the Fifteenth International Conference of Labour Statisticians (January 1993). Guidelines concerning a statistical definition of informal employment, adopted by the Seventieth International Conference of Labour Statisticians (November-December 2003). ILO manual Measuring informality: A statistical manual on the informal sector and informal employment. |
| Quality management |
Quality Management is addressed through a series of activities by the UBOS Top management;
|
| Quality assurance |
The 2019/20 UNHS underwent several stages before production and sharing of the final findings. During the Survey implementation.
Data editing, cleaning and coding is undertaken before analysis and report writing |
| Quality assessment |
Before dissemination, the report is reviewed and quality assured by the Department of Outreach and Quality Assurance at the Bureau. |
| Data availability and disaggregation |
Data availability: Data for this indicator is available. Time series: UNHS every 3 to 4 years Disaggregation: Data disaggregated by sector and sex. Here, sector refers to the breakdown by agriculture/non-agriculture. Where possible, the disaggregation by sector could go into a more detailed breakdown by economic activity, but for the purpose of global and regional monitoring, the aggregate categories of agriculture and non-agriculture are provided. 6. COMPARABILITY/DEVIATION FROM INTERNATIONAL STANDARD |
| Comparability/deviation from international standards |
The data is comparable internationally |
| References and Documentation |
|
| Metadata last updated | Feb 12, 2026 |