The total population in Rwanda was estimated at 13.3 million people in 2022, according to the latest census figures and projections from Trading Economics. This dataset provides - Rwanda Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The population density in Rwanda increased by 12 inhabitants per square kilometer (+2.22 percent) in 2022. Therefore, the population density in Rwanda reached a peak in 2022 with 553.35 inhabitants per square kilometer. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Burundi and Tanzania.

Rwanda administrative level 0-3 sex and age disaggregated 2023 population statistics projections

REFERENCE YEAR: 2023

These CSV tables are suitable for database or GIS linkage to the Rwanda - Subnational Administrative Boundaries layers using the ADM0. ADM1, ADM2, and ADM3_PCODE fields.

The 2022 data are included for reference.

Population density (people per sq. km of land area) in Rwanda was reported at 553 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Rwanda - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Rwanda: Land area in sq. km: The latest value from 2022 is 24670 sq. km, unchanged from 24670 sq. km in 2021. In comparison, the world average is 673036 sq. km, based on data from 191 countries. Historically, the average for Rwanda from 1961 to 2022 is 24670 sq. km. The minimum value, 24670 sq. km, was reached in 1961 while the maximum of 24670 sq. km was recorded in 1961.

This statistic shows the age structure in Rwanda from 2013 to 2023. In 2023, about 37.73 percent of Rwanda's total population were aged 0 to 14 years.

Population, age 5, total in Rwanda was reported at 384899 Persons in 2015, according to the World Bank collection of development indicators, compiled from officially recognized sources. Rwanda - Population, age 5, total - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2022.

Abstract

The main objective of the Seasonal Agricultural Survey is to provide timely, accurate, reliable and comprehensive agricultural statistics that describe the structure of agriculture in Rwanda mainly in terms of land use, crop area, yield and crop production to monitor current agricultural and food supply conditions and to facilitate evidence-based decision making for the development of the agricultural sector.

The National Institute of Statistics of Rwanda (NISR) has been conducting seasonal agricultural survey since 2012 for the estimation of the national agricultural crop area and production estimates. In 2022/2023 agricultural year, the NISR conducted Seasonal Agricultural Survey (SAS) covering the three agricultural seasons. The SAS provides information used as a tool to assist in addressing key agricultural issues and information needs that will inform policymakers and other stakeholders and allow more effective identification of priority intervention needs.

Geographic coverage

National coverage allowing district-level estimation of key indicators

Analysis unit

Small scale agricultural farms and large scale farms

Universe

The SAS 2023 targeted potential agricultural land and large-scale farmers

Kind of data

Sample survey data [ssd]

Sampling procedure

The total country land was classified into five strata, of which four are agricultural, while the remaining stratum is designated for land not suitable for agriculture. The four agricultural strata are: dominant hill crop land, dominant wetland crops, dominant rangeland, and mixed stratum, all considered suitable for agriculture. The fifth stratum comprises non-agricultural land, including areas occupied by water bodies, forestry plantations, settlements, parks, and protected marshland not utilized for agriculture. The sampling frame excludes land areas covered by tea plantation farms. In 2023 agricultural year, the total sample used was 1200 segments. At first stage,1200 segments were selected and allocated at district level based on the power allocation approach (Bankier, 1988). Sampled segments inside each district were distributed among strata with a proportional-to-size criterion.

At the second stage, 25 sample points were systematically selected, following a special distance of 60 meters between points. For every sample point, a corresponding farm or plot is identified, and the operator is interviewed. The farms therefore constitute the sampling units within each segment. Enumerators locate every sample point, delineate plots in which the sample points fall using high accurate GPS devices and then collect information on land use and other related information. Sampling weights are calculated and applied to the sample data to obtain stratum-level estimates. District estimates are then derived by aggregating the estimates from all strata within the district.

Data collection was done in 1200 segments and 345 large scale farmers holdings for Season A and B, whereas in Season C data was collected in 1769 sites potential to grow season C crops in addition to 513 segments, response rate was 100% of the sample.

During the SAS 2023 exercise, data collection covered three main agricultural seasons A, B and C and was conducted into two separate phases in each season: A. The first phase, known as screening activity (post-planting phase), consists of visiting all sampled segments and demarcating all plots with sampled points with the aim of covering the information related to land area, planted crops and land use.

B. The second phase involves capturing of production data by visiting sampled agricultural plots identified from screening activity as well as all large-scale farmers. To ensure the smooth completion of the SAS workload, NISR employed 137 Enumerators and 23 Team Leaders. All fieldwork staff hold a degree in agriculture sciences and were consistently trained by NISR headquarter staff before starting data collection in each season. Moreover, higher-level supervision was organized and done by staff from NISR who frequently visited the field teams during each phase of data collection to ensure the quality of collected data. For Season A, data collection started on 4th December 2022 and ended on 16th February 2023. For Season B, data collection started on 2nd May 2023 and ended on 30th June 2023. For Season C, data collection started on 10th September 2023 and ended on 30th September 2023.

Mode of data collection

Computer Assisted Personal Interview [capi]

Rwanda RW: General Government: Expenditure: % of GDP data was reported at 22.762 % in 2023. This records a decrease from the previous number of 22.969 % for 2022. Rwanda RW: General Government: Expenditure: % of GDP data is updated yearly, averaging 23.726 % from Dec 1992 (Median) to 2023, with 32 observations. The data reached an all-time high of 28.266 % in 2014 and a record low of 15.808 % in 1994. Rwanda RW: General Government: Expenditure: % of GDP data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Rwanda – Table RW.IMF.FM: Government Finance Statistics.

The death rate in Rwanda saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 5.93 deaths per 1,000 inhabitants. Yet 2023 saw the lowest death rate in Rwanda with 5.93 deaths per 1,000 inhabitants. The crude death rate is the annual number of deaths divided by the total population, expressed per 1,000 people.Find more statistics on other topics about Rwanda with key insights such as crude birth rate, total fertility rate, and infant mortality rate.

Abstract

In this project, a national energy survey was conducted in Rwanda in June 2022, which followed up on an inaugural energy survey conducted in 2016. The survey captured the status of access to electricity and clean cooking among Rwandan households, including those of refugees, and also among public institutions. Survey results were analyzed using the multi-tier framework (MTF) for energy access, which measures energy access across six levels (Tier 0 to Tier 5) instead of evaluating it based on a binary definition, having access or not, and explores the multi-dimensional nature of energy access and the diverse technologies and sources that can provide it.

Geographic coverage

Nationwide

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample design and selection

The energy survey included a household survey, a public institution survey, and a survey of refugee camps and adjacent host communities. For each survey, different sampling frames were used to select representative samples.

(1) Household Survey The sampling frame for the household survey was the complete list of residential households from the Rwanda Population and Housing Census Report 2012 (RPHC2012) provided by the National Institute of Statistics. It excluded households located within 5km from the refugee camp, and it comprised information on Rwandan residential households grouped by Province, District, Sector, Cell, and Village.

The sample size for the household survey was designed to obtain estimates with high precision for the main indicators targeted by the survey. Since the Rwanda Demographic and Health Survey (2019/2020) indicated that in Rwanda, 46% of households have access to electricity, the value was used in the calculation of the sample size and considered as the benchmark indicator value. The minimum sample size required for the household survey was calculated using the formula provided in the document Rwanda Energy Survey (2022) Sampling Strategy and Weighting provided under Resources.

Stratification for the household survey was done considering province, urban, and rural area as strata to increase the efficiency of the sample design. An equal sample allocation was applied to allocate households between urban and rural areas and later a square root allocation was applied to allocate the sample size between provinces

Sample selection: In the first stage, 223 villages were selected using probability proportional to size (PPS), and in the second stage, after listing all residential households in the sampled villages, 18 households were selected using systematic random sampling methods (it was anticipated that 50% of electrified households and 50% of non-electrified households be sampled from each sampled village for interview).

(2) Public Institutions Survey For the public institutions survey, given that the sampling frame is not available, all education and health centers located in the area where the household survey took place were interviewed. The sample size for the public institutions survey depended on the number of institutions found in villages selected for the household survey at the time of survey administration.

The sample size for the public institutions’ survey corresponded to all educational institutions and health centers found in the sampled villages. In other words, the final sample size for the public institution survey was determined based on the number of villages selected for the household survey.

(3) Refugee Households and Host Community Surveys The refugee household survey was conducted in the five refugee camps in Rwanda located in different areas. The sampling frame for this survey was the exhaustive list of households in the five refugee camps. Additionally, adjacent host communities, within 5km of the refugee camps, were surveyed.

Sample Size: The sample size for the refugee camp and hosting communities was determined using the same formula used to calculate the minimum sample size for the household survey. The only difference is that since the indicator of interest (P) is unknown (proportion of households connected to the national grid), the prevalence rate was assumed to be 50% to maximize sample size and relative standard error to 3.6%. Therefore, the minimum sample size was 1,700 households. The total population of refugee camps and host communities was 264,316 of which the population of refugee camps represented 10% and the population of hosting communities represents 90%. To design an effective sample size for each category, 40% of the sample was drawn from the refugee camp and 60% from hosting communities. In other words, 700 households were selected for interview in refugee camps and 1,000 households in hosting communities; this implies a relative standard error (RSE) of 5.7% and 4.7% respectively.

Sample Selection: For the refugee household survey, in the first stage, 39 segments from refugee camps were selected using probability proportion to size (PPS), and in the second stage, a systematic random sampling technique was applied to select 18 refugee households from the sampled segment. For host communities survey, 56 villages were selected using probability proportional to size (PPS) and at the second stage, 18 households from each sampled village were selected using systematic random sampling technics.

For more information, see the document Rwanda Energy Survey (2022) Sampling Strategy and Weighting provided under Resources.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The following questionnaires are available for download in PDF format: Rwanda Energy Survey - Community Questionnaire for Impact Evaluation and Tier Analysis Rwanda Energy Survey - Education Facility Questionnaire for Impact Evaluation and Tier Analysis Rwanda Energy Survey - Health Facility Questionnaire for Impact Evaluation and Tier Analysis Rwanda Energy Survey - Household Questionnaire Medium Version

Rwanda: Access to electricity, percent of the population: The latest value from 2022 is 50.6 percent, an increase from 48.7 percent in 2021. In comparison, the world average is 86.75 percent, based on data from 196 countries. Historically, the average for Rwanda from 1992 to 2022 is 17.81 percent. The minimum value, 1.03 percent, was reached in 1997 while the maximum of 50.6 percent was recorded in 2022.

Rwanda: Crop production index (2004-2006 = 100): The latest value from 2022 is 123.2 index points, an increase from 122.6 index points in 2021. In comparison, the world average is 108.4 index points, based on data from 188 countries. Historically, the average for Rwanda from 1961 to 2022 is 68.9 index points. The minimum value, 23.9 index points, was reached in 1964 while the maximum of 123.2 index points was recorded in 2022.

Cell boundary data contains cell boundaries for Rwanda since 2006. The data was created in 2006 and updated by the 2012 Census mapping. The census mapping started in 2011 and ended in 2012, where a team of 80 field staff collected census and administrative boundaries up to the lowest administrative level which is "Umudugudu". Boundaries were adjusted in the GIS lab using the 2008-2009 aerial photographs (Orthophoto) taken by the Rwanda Natural Resource Authority. The datasets was updated by the 2022 Population and Housing census.Cell is one of the administrative entities in Rwandan administration, they are under Sector authority. The total number of cells is two thousands one hundred forty eight (2148). The data contain the following attributes: Prov_ID contains one digit as unique identifier for each province, Province contains Province names in English, Dist_ID contains two digits as unique identifier for each District, a combination of the first digit for Province and the second one for District. District contains District names, Sect_ID: Contains a four digit number as unique identifier for each sector, Sector contains Sector names, Cell_ID contains a six digit number as unique identifier for each cell. This Unique Id can be used to link the data to other thematic tables. The attribute Cell contains Cell names. The data format is in decimal degrees using the World Geodetic System (WGS) 1984. The geographic coverage of the dataset excludes some are of the country covered by the Kivu Lake.

The total life expectancy at birth in Rwanda saw no significant changes in 2023 in comparison to the previous year 2022 and remained at around 67.78 years. Nevertheless, 2023 still represents a peak in the life expectancy at birth in Rwanda. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find more statistics on other topics about Rwanda with key insights such as death rate, infant mortality rate, and total fertility rate.

Rwanda RW: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 0.320 Ratio in 2022. This records a decrease from the previous number of 0.370 Ratio for 2021. Rwanda RW: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 2.010 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 6.500 Ratio in 1994 and a record low of 0.320 Ratio in 2022. Rwanda RW: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Rwanda – Table RW.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].

Children (0-14) living with HIV in Rwanda was reported at 7100 Persons in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Rwanda - Children (0-14) living with HIV - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Abstract

The Country Opinion Survey in Rwanda assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Rwanda perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Rwanda on 1) their views regarding the general environment in Rwanda; 2) their overall attitudes toward the WBG in Rwanda; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Rwanda; and 4) their perceptions of the WBG’s future role in Rwanda.

Geographic coverage

• Kigali City
• Northern Province
• Eastern Province
• Southern Province
• Western Province

Sampling procedure

From May to July 2022, 643 stakeholders of the WBG in Rwanda were invited to provide their opinions on the WBG’s work in the country by participating in a Country Opinion Survey. Participants were drawn from the office of the President, office of a Minister, office of a member of Parliament/Legislative body, employees of ministries/ministerial departments/implementation agencies; Project Implementation Units (PMUs) overseeing implementation of WBG projects; consultants/contractors working on WBG-supported projects/programs; local governments; independent government institutions; the judicial system; state-owned enterprises; bilateral and multilateral agencies; private sector organizations; the financial sector/private banks; private foundations; NGOs and community-based organizations; professional/trade associations; faith-based groups; youth groups; academia/research institutes/think tanks; and the media.

Mode of data collection

Internet [int]

Research instrument

The questionnaire is in English and available for download.

Response rate

The response rate was 61%

Rwanda Imports from Ivory Coast was US$372.34 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Rwanda Imports from Ivory Coast - data, historical chart and statistics - was last updated on June of 2025.

Myanmar Imports from Rwanda was US$464.32 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Myanmar Imports from Rwanda - data, historical chart and statistics - was last updated on June of 2025.