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 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value |
| Indicator |
Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilities |
| Metadata update |
November, 2021 |
| Related indicators |
1.1.1, 8.2.1, 8.6.1, 10.4.1 |
| 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 |
The unemployment rate conveys the percentage of persons in the labour force who are unemployed. Unemployed persons are defined as all those of working age (usually aged 15 and above) who were not in employment, carried out activities to seek employment during a specified recent period and were currently available to take up employment given a job opportunity, where:
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| Unit of measure |
Percent |
| Classifications |
Disability status is based on the WHO International Classification of Functioning, Disability and Health (ICF), according to which disability covers impairments (problems in body function or structure such as a significant deviation or loss), activity limitations (difficulties in executing activities) and participation restrictions (problems in involvement in life situations). For measurement purposes, the ICF defines a person with disability as a person who is limited in the kind or amount of activities that he or she can do because of ongoing difficulties due to a long-term physical condition, mental condition or health problem. |
| 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 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. 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-LFS Module – Every after 3 years |
| Data release calendar |
2023/24 |
| Data providers |
Uganda Bureau of Statistics |
| Data compilers |
UBOS |
| Institutional mandate |
The Uganda Bureau of Statistics 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 |
The unemployment rate is a useful measure of the underutilization of the labour supply. It reflects the inability of an economy to generate employment for those persons who want to work but are not doing so, even though they are available for employment and actively seeking work. It is thus seen as an indicator of the efficiency and effectiveness of an economy to absorb its labour force and of the performance of the labour market. Short-term time series of the unemployment rate can be used to signal changes in the business cycle; upward movements in the indicator often coincide with recessionary periods or in some cases with the beginning of an expansionary period as persons previously not in the labour market begin to test conditions through an active job search. |
| Comment and limitations |
Even though in most developed countries the unemployment rate is useful as an indicator of labour market performance, and specifically, as a key measure of labour underutilization, in many developing countries, the significance and meaning of the unemployment rate could be questioned. In the absence of unemployment insurance systems or social safety nets, persons of working age must avoid unemployment, resorting to engaging in some form of economic activity, however insignificant or inadequate. Thus, in this context, other measures should supplement the unemployment rate to comprehensively assess labour underutilization. |
| Validation |
Trend and independent analysis Hold data validation stakeholder meetings Data consistency and quality checks are regularly conducted |
| Methods and guidance available to countries for the compilation of the data at the national level |
In order to calculate this indicator (according to the ILO definitions of unemployment and unemployment rate), data is needed on both the labour force and the unemployed, by sex and age (and eventually disability status). This data is collected at the national level mainly through labour force surveys (or other types of household surveys with an employment module). For the methodology of each national household survey, one must refer to the most comprehensive survey report or to the methodological publications.
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| Quality management |
Quality Management is addressed through a series of activities by the UBOS Top Management;
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| 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: Data series cover the period from 2012/13, 2016/17 and 2019/20. Disaggregation: Data disaggregated sex, industry, age and persons with disability. |
| Comparability/deviation from international standards |
Data is comparable internationally |
| References and Documentation |
Uganda National Household Survey reports (2012/13, 2016/17 and 2019/20). • Decent Work and the Sustainable Development Goals • A Guidebook on SDG Labour Market IndicatorsILO Manual – Decent Work Indicators, Concepts and Definitions – Chapter 1, Employment opportunities. • Resolution concerning statistics of work, employment and labour underutilization. • ILOSTAT Indicator descriptions ILOSTAT’s topic page on Unemployment and Labour Underutilization. |
| Metadata last updated | Feb 12, 2026 |