Uganda refugee statistics for 2023 was 1,577,498, a 7.79% increase from 2022.

<ul style='margin-top:20px;'>

<li>Uganda refugee statistics for 2022 was <strong>1,463,523</strong>, a <strong>4.34% decline</strong> from 2021.</li>
<li>Uganda refugee statistics for 2021 was <strong>1,529,903</strong>, a <strong>7.65% increase</strong> from 2020.</li>
<li>Uganda refugee statistics for 2020 was <strong>1,421,133</strong>, a <strong>4.54% increase</strong> from 2019.</li>
</ul>Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted.

The total population in Uganda was estimated at 50.0 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Uganda Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

As of May 2024, Uganda hosted roughly *** million refugees. Of the total, around ** percent came from neighboring South Sudan. The Democratic Republic of the Congo ranked as the second leading origin of refugees living in Uganda. Approximately ******* Congolese citizens have searched for asylum in the bordering country so far. Uganda houses the highest number of individuals forcibly displaced in Africa as well as some of the largest refugee populations worldwide. Refugees hosted in Uganda Adjumani and Yumbe, northern Uganda districts, housed roughly one-third of the total refugees that sought asylum in the country. With a host population of approximately ******* people, the Yumbe district accounted for ** percent of all refugees in Uganda. Adjumani’s population consisted of nearly half residents and half refugees. Refugee flows in Africa Over ***** million refugees lived in Sub-Saharan Africa in 2021. The region has one of the largest refugee populations globally. In the last decade, the number of refugees living in Africa soared, mainly comprised of Africans fleeing to neighboring countries. The reasons for fleeing home were varied, ranging from internal conflicts to poverty and environmental disasters.

Effects of Covid-19 lockdown on illegal wildlife trafficking in Uganda. A comparison of March to December 2019 and 2020 data.

This statistic shows the total population of Uganda from 2014 to 2024 by gender. In 2024, Uganda's female population amounted to approximately 25.21 million, while the male population amounted to approximately 24.81 million inhabitants.

Uganda UG: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data was reported at 1.699 % in 2012. Uganda UG: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data is updated yearly, averaging 1.699 % from Dec 2012 (Median) to 2012, with 1 observations. Uganda UG: Educational Attainment: At Least Bachelor's or Equivalent: Population 25+ Years: Total: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed Bachelor's or equivalent.; ; UNESCO Institute for Statistics; ;

Uganda level 0-2 sex and age disaggregated 2023 projected population statistics

REFERENCE YEAR: 2023

These tables reflect the 135 district administrative system.

These population statistics tables are suitable for database or GIS linkage to the administrative level 0-2 boundaries available at Uganda - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE items

Number of health units, number of hospital beds (public and private) and Immunization indicators for every region in Uganda.

Uganda UG: Educational Attainment: At Least Completed Upper Secondary: Population 25+ Years: Male: % Cumulative data was reported at 13.922 % in 2012. This records an increase from the previous number of 12.838 % for 2010. Uganda UG: Educational Attainment: At Least Completed Upper Secondary: Population 25+ Years: Male: % Cumulative data is updated yearly, averaging 9.226 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 13.922 % in 2012 and a record low of 3.149 % in 1991. Uganda UG: Educational Attainment: At Least Completed Upper Secondary: Population 25+ Years: Male: % Cumulative data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank: Education Statistics. The percentage of population ages 25 and over that attained or completed upper secondary education.; ; UNESCO Institute for Statistics; ;

Historical dataset showing Uganda hunger statistics by year from 2001 to 2022.

National energy statistics from 2006 to 2010 by installed capacity, sales of petroleum products, number of active customers and purchases by UETCL

Uganda UG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data was reported at 110.531 Ratio in 2016. This records a decrease from the previous number of 114.560 Ratio for 2015. Uganda UG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data is updated yearly, averaging 181.760 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 201.295 Ratio in 1992 and a record low of 110.531 Ratio in 2016. Uganda UG: Adolescent Fertility Rate: Births per 1000 Women Aged 15-19 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank.WDI: Health Statistics. Adolescent fertility rate is the number of births per 1,000 women ages 15-19.; ; United Nations Population Division, World Population Prospects.; Weighted average;

Discover the latest eCommerce statistics in Uganda for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in Uganda, uncovering the distribution of stores across categories and platforms.

Government Spending in Uganda increased to 16237 UGX billion in 2023 from 14255 UGX billion in 2022. This dataset provides - Uganda Government Spending- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Uganda UG: Population: Growth data was reported at 3.260 % in 2017. This records a decrease from the previous number of 3.291 % for 2016. Uganda UG: Population: Growth data is updated yearly, averaging 3.287 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.550 % in 1988 and a record low of 2.648 % in 1973. Uganda UG: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

The labor participation rate among the total population aged between 15 and 64 in Uganda saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around ***** percent. The labor force participation rate is the share of people aged 15 and over who are economically active (i.e. employed or actively searching for work). It is calculated by dividing the economically active population aged 15 and over by the total population aged 15 and over.Find more key insights for the labor participation rate among the total population aged between 15 and 64 in countries like Tanzania and Kenya.

The total population of Uganda was estimated at approximately 46.62 million people in 2024. Following a continuous upward trend, the total population has risen by around 35.36 million people since 1980. Between 2024 and 2030, the total population will rise by around 10.68 million people, continuing its consistent upward trajectory.This indicator describes the total population in the country at hand. This total population of the country consists of all persons falling within the scope of the census.

Abstract

The 2016 Uganda Demographic and Health Survey (2016 UDHS) was implemented by the Uganda Bureau of Statistics. The survey sample was designed to provide estimates of population and health indicators including fertility and child mortality rates for the country as a whole, for the urban and rural areas separately, and for each of the 15 regions in Uganda (South Central, North Central, Busoga, Kampala, Lango, Acholi, Tooro, Bunyoro, Bukedi, Bugisu, Karamoja, Teso, Kigezi, Ankole, and West Nile).

The primary objective of the 2016 UDHS project is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the 2016 UDHS collected information on: • Key demographic indicators, particularly fertility and under-5, adult, and maternal mortality rates • Direct and indirect factors that determine levels of and trends in fertility and child mortality • Contraceptive knowledge and practice • Key aspects of maternal and child health, including immunisation coverage among children, prevalence and treatment of diarrhoea and other diseases among children under age 5, and maternity care indicators such as antenatal visits and assistance at delivery • Child feeding practices, including breastfeeding, and anthropometric measures to assess the nutritional status of women, men, and children • Knowledge and attitudes of women and men about sexually transmitted infections (STIs) and HIV/AIDS, potential exposure to the risk of HIV infection (risk behaviours and condom use), and coverage of HIV testing and counselling (HTC) and other key HIV/AIDS programmes • Anaemia in women, men, and children • Malaria prevalence in children as a follow-up to the 2014-15 Uganda Malaria Indicator Survey • Vitamin A deficiency (VAD) in children • Key education indicators, including school attendance ratios, level of educational attainment, and literacy levels • The extent of disability • Early childhood development • The extent of gender-based violence

The information collected through the 2016 UDHS is intended to assist policymakers and program managers in evaluating and designing programs and strategies for improving the health of the country’s population.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49
• Man age 15-54

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame used for the 2016 UDHS is the frame of the Uganda National Population and Housing Census (NPHC), conducted in 2014; the sampling frame was provided by the Uganda Bureau of Statistics. The census frame is a complete list of all census enumeration areas (EAs) created for the 2014 NPHC. In Uganda, an EA is a geographic area that covers an average of 130 households. The sampling frame contains information about EA location, type of residence (urban or rural), and the estimated number of residential households.

The 2016 UDHS sample was stratified and selected in two stages. In the first stage, 697 EAs were selected from the 2014 Uganda NPHC: 162 EAs in urban areas and 535 in rural areas. One cluster from Acholi subregion was eliminated because of land disputes. Households constituted the second stage of sampling.

For further details on sample design, see Appendix A of the final report.

Mode of data collection

Face-to-face [f2f]

Cleaning operations

All electronic data files for the 2016 UDHS were transferred via IFSS to the UBOS central office in Kampala, where they were stored on a password-protected computer. The data processing operation included registering and checking for inconsistencies, incompleteness, and outliers. Data editing and cleaning included structure and consistency checks to ensure completeness of work in the field. The central office also conducted secondary editing, which required resolution of computer-identified inconsistencies and coding of open-ended questions. The data were processed by four staff (two programmers and two data editors) who took part in the main fieldwork training. They were supervised by three senior staff from UBOS. Data editing was accomplished with CSPro software. Secondary editing and data processing were initiated in August 2016 and completed in January 2017.

Response rate

A total of 20,791 households were selected for the sample, of which 19,938 were occupied. Of the occupied households, 19,588 were successfully interviewed, which yielded a response rate of 98%.

In the interviewed households, 19,088 eligible women were identified for individual interviews. Interviews were completed with 18,506 women, yielding a response rate of 97%. In the subsample of households selected for the male survey, 5,676 eligible men were identified and 5,336 were successfully interviewed, yielding a response rate of 94%. Response rates were higher in rural than in urban areas, with the ruralurban difference being more pronounced among men (95% and 90%, respectively) than among women (98% and 95%, respectively).

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: nonsampling errors and sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2016 Uganda Demographic and Health Survey (UDHS) to minimise this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2016 UDHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

Sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2016 UDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS, using programs developed by ICF. These programs use the Taylor linearisation method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in Appendix B of the survey final report.

Data appraisal

Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women - Age distribution of eligible and interviewed men - Completeness of reporting - Births by calendar years - Reporting of age at death in days - Reporting of age at death in months - Completeness of information on siblings - Sibship size and sex ratio of siblings - Pregnancy-related mortality trends

See details of the data quality tables in Appendix C of the survey final report.

Hong Kong Imports from Uganda was US$552.85 Million during 2024, according to the United Nations COMTRADE database on international trade. Hong Kong Imports from Uganda - data, historical chart and statistics - was last updated on July of 2025.

The number of mobile cellular subscriptions per 100 inhabitants in Uganda increased steadily since 2000, growing from nearly zero in 2000 to over 60 between 2000 and 2017. In recent years, the number remains around 60 to 70, however it reached approximately 86 in 2023.