The average for 2024 based on 53 countries was 50.8 percent. The highest value was in Burundi: 84.84 percent and the lowest value was in Gabon: 8.69 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

South Africa ZA: Rural Population Growth data was reported at -0.235 % in 2017. This records a decrease from the previous number of -0.168 % for 2016. South Africa ZA: Rural Population Growth data is updated yearly, averaging 1.217 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.679 % in 1972 and a record low of -0.329 % in 2008. South Africa ZA: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

Time series data for the statistic Rural population and country Central African Republic. Indicator Definition:Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. Aggregation of urban and rural population may not add up to total population because of different country coverages.The indicator "Rural population" stands at 2.98 Million as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.51 percent compared to the value the year prior.The 1 year change in percent is 2.51.The 3 year change in percent is 1.58.The 5 year change in percent is 3.44.The 10 year change in percent is 7.29.The Serie's long term average value is 2.10 Million. It's latest available value, on 12/31/2024, is 42.06 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +118.96%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

In 2024, Gabon had the highest urbanization rate in Africa, with over 90 percent of the population living in urban areas. Libya and Djibouti followed at around 82 percent and 79 percent, respectively. On the other hand, many countries on the continent had the majority of the population residing in rural areas. As of 2023, urbanization in Malawi, Rwanda, Niger, and Burundi was below 20 percent. A growing urban population On average, the African urbanization rate stood at approximately 45 percent in 2023. The number of people living in urban areas has been growing steadily since 2000 and is forecast to increase further in the coming years. The urbanization process is particularly rapid in Burundi, Uganda, and Tanzania. In these countries, the urban population grew by over five percent in 2023 compared to the previous year. However, in 39 countries on the continent, the urban population growth was over three percent. The most populous cities in Africa Africa’s largest city is Lagos in Nigeria, counting around nine million people. It is followed by Kinshasa in the Democratic Republic of the Congo and Cairo in Egypt, each with over seven million inhabitants. Moreover, other cities on the continent are growing rapidly. The population of Bujumbura in Burundi will increase by 123 percent between 2020 and 2035, registering the highest growth rate on the continent. Other fast-growing cities are Zinder in Niger, Kampala in Uganda, and Kabinda in the Democratic Republic of the Congo.

South Africa ZA: Rural Population: % of Total Population data was reported at 34.150 % in 2017. This records a decrease from the previous number of 34.659 % for 2016. South Africa ZA: Rural Population: % of Total Population data is updated yearly, averaging 48.761 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 53.381 % in 1960 and a record low of 34.150 % in 2017. South Africa ZA: Rural Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

South Africa: Rural population, percent of total population: The latest value from 2024 is 30.7 percent, a decline from 31.18 percent in 2023. In comparison, the world average is 38.30 percent, based on data from 196 countries. Historically, the average for South Africa from 1960 to 2024 is 45.06 percent. The minimum value, 30.7 percent, was reached in 2024 while the maximum of 53.38 percent was recorded in 1960.

The Central African Republic: Rural population, percent of total population: The latest value from 2024 is 55.87 percent, a decline from 56.39 percent in 2023. In comparison, the world average is 38.30 percent, based on data from 196 countries. Historically, the average for the Central African Republic from 1960 to 2024 is 65.12 percent. The minimum value, 55.87 percent, was reached in 2024 while the maximum of 79.9 percent was recorded in 1960.

The urbanization rate in Africa was estimated at nearly **** percent in 2024. Urbanization on the continent has increased steadily since 2000, when close to ** percent of the total population lived in urban areas. This share is expected to increase further in the coming years. However, the proportion of the rural and urban population varies significantly on the continent. In 2024, Gabon and Libya were the most urbanized countries in Africa, each exceeding ** percent. In contrast, Burundi and Niger registered the lowest urbanization rates, which recorded only ** and ** percent of their populations living in urban areas, respectively. Overall, the degree of urbanization on the continent was lower than the world average, which was set at ** percent as of 2025. In that year, Africa and Asia were the continents with the lowest urbanization rate.

This scatter chart displays rural population (people) against median age (year) in Northern Africa. The data is about countries.

Central African Republic CF: Rural Population Growth data was reported at 0.189 % in 2023. This records an increase from the previous number of -1.102 % for 2022. Central African Republic CF: Rural Population Growth data is updated yearly, averaging 1.070 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 3.057 % in 1993 and a record low of -1.142 % in 2010. Central African Republic CF: Rural Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

Cairo, in Egypt, ranked as the most populated city in Africa as of 2025, with an estimated population of over 23 million inhabitants living in Greater Cairo. Kinshasa, in Congo, and Lagos, in Nigeria, followed with some 17.8 million and 17.2 million, respectively. Among the 15 largest cities in the continent, another one, Kano, was located in Nigeria, the most populous country in Africa. Population density trends in Africa As of 2023, Africa exhibited a population density of 50.1 individuals per square kilometer. Since 2000, the population density across the continent has been experiencing a consistent annual increment. Projections indicated that the average population residing within each square kilometer would rise to approximately 58.5 by the year 2030. Moreover, Mauritius stood out as the African nation with the most elevated population density, exceeding 627 individuals per square kilometre. Mauritius possesses one of the most compact territories on the continent, a factor that significantly influences its high population density. Urbanization dynamics in Africa The urbanization rate in Africa was anticipated to reach close to 45.5 percent in 2024. Urbanization across the continent has consistently risen since 2000, with urban areas accommodating only around a third of the total population then. This trajectory is projected to continue its rise in the years ahead. Nevertheless, the distribution between rural and urban populations shows remarkable diversity throughout the continent. In 2024, Gabon and Libya stood out as Africa’s most urbanized nations, each surpassing 80 percent urbanization. As of the same year, Africa's population was estimated to expand by 2.27 percent compared to the preceding year. Since 2000, the population growth rate across the continent has consistently exceeded 2.3 percent, reaching its pinnacle at 2.63 percent in 2013. Although the growth rate has experienced a deceleration, Africa's population will persistently grow significantly in the forthcoming years.

This scatter chart displays median age (year) against rural population (people) in Middle Africa. The data is about countries.

Central African Republic CF: Rural Population: % of Total Population data was reported at 56.386 % in 2023. This records a decrease from the previous number of 56.880 % for 2022. Central African Republic CF: Rural Population: % of Total Population data is updated yearly, averaging 63.053 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 79.900 % in 1960 and a record low of 56.386 % in 2023. Central African Republic CF: Rural Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Population and Urbanization Statistics. Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population.;World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.;Weighted average;

Central African Republic CF: Improved Water Source: Rural: % of Rural Population with Access data was reported at 54.400 % in 2015. This stayed constant from the previous number of 54.400 % for 2014. Central African Republic CF: Improved Water Source: Rural: % of Rural Population with Access data is updated yearly, averaging 50.600 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 54.400 % in 2015 and a record low of 46.400 % in 1992. Central African Republic CF: Improved Water Source: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Access to an improved water source, rural, refers to the percentage of the rural population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Snowmass Village. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Snowmass Village, the median household income for the households where the householder is White decreased by $3,760(3.55%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $106,003 in 2013 and $102,243 in 2023.
• Black or African American: As per the U.S. Census Bureau population data, in Snowmass Village, there are no households where the householder is Black or African American; hence, the median household income for the Black or African American population is not applicable.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Snowmass Village.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Snowmass Village median household income by race. You can refer the same here

Central African Republic Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data was reported at 0.000 % in 2015. This stayed constant from the previous number of 0.000 % for 2000. Central African Republic Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data is updated yearly, averaging 0.000 % from Dec 1990 (Median) to 2015, with 3 observations. The data reached an all-time high of 0.000 % in 2015 and a record low of 0.000 % in 2015. Central African Republic Rural Population Living in Areas Where Elevation is Below 5 Meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Rural population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.;Center for International Earth Science Information Network - CIESIN - Columbia University, and CUNY Institute for Demographic Research - CIDR - City University of New York. 2021. Low Elevation Coastal Zone (LECZ) Urban-Rural Population and Land Area Estimates, Version 3. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/d1x1-d702.;Weighted average;

As of 2024, South Africa's population increased, counting approximately 63 million inhabitants. Of these, roughly 27.5 million were aged 0-24, while 654,000 people were 80 years or older. Gauteng and Cape Town are the most populated South Africa’s yearly population growth has been fluctuating since 2013, with the growth rate dropping below the world average in 2024. The majority of people lived in the borders of Gauteng, the smallest of the nine provinces in terms of land area. The number of people residing there amounted to 16.6 million in 2023. Although the Western Cape was the third-largest province, the city of Cape Town had the highest number of inhabitants in the country, at 3.4 million. An underemployed younger population South Africa has a large population under 14, who will be looking for job opportunities in the future. However, the country's labor market has had difficulty integrating these youngsters. Specifically, as of the fourth quarter of 2024, the unemployment rate reached close to 60 percent and 384 percent among people aged 15-24 and 25–34 years, respectively. In the same period, some 27 percent of the individuals between 15 and 24 years were economically active, while the labor force participation rate was higher among people aged 25 to 34, at 74.3 percent.

This map shows electricity access in Africa. The data source is from the International Energy Agency’s World Energy Outlook. The International Energy Agency’s World Energy Outlook first constructed a database on electrification rates for WEO-2002. The database once again was updated for WEO-2015, showing detailed data on national, urban and rural electrification.

The general paucity of data on electricity access means that it must be gathered through a combination of sources, including: IEA energy statistics; a network of contacts spanning governments, multilateral development banks and country-level representatives of various international organisations; and, other publicly available statistics, such as US Agency for International Development (USAID) supported DHS survey data, the World Bank’s Living Standards Measurement Surveys (LSMS), the UN Economic Commission for Latin America and the Caribbean’s (ECLAC) statistical publications, and data from national statistics agencies. In the small number of cases where no data could be provided through these channels other sources were used. If electricity access data for 2013 was not available, data for the latest available year was used.

For many countries, data on the urban and rural breakdown was collected, but if not available an estimate was made on the basis of pre-existing data or a comparison to the average correlation between urban and national electrification rates. Often only the percentage of households with a connection is known and assumptions about an average household size are used to determine access rates as a percentage of the population. To estimate the number of people without access, population data comes from OECD statistics in conjunction with the United Nations Population Division reports World Urbanization Prospects: the 2014 Revision Population Database, and World Population Prospects: the 2012 Revision. Electricity access data is adjusted to be consistent with demographic patterns of urban and rural population. Due to differences in definitions and methodology from different sources, data quality may vary from country to country. Where country data appeared contradictory, outdated or unreliable, the IEA Secretariat made estimates based on cross-country comparisons and earlier surveys.

Central African Republic CF: Improved Sanitation Facilities: Rural: % of Rural Population with Access data was reported at 7.200 % in 2015. This stayed constant from the previous number of 7.200 % for 2014. Central African Republic CF: Improved Sanitation Facilities: Rural: % of Rural Population with Access data is updated yearly, averaging 9.300 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 11.600 % in 1992 and a record low of 7.200 % in 2015. Central African Republic CF: Improved Sanitation Facilities: Rural: % of Rural Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Access to improved sanitation facilities, rural, refers to the percentage of the rural population using improved sanitation facilities. Improved sanitation facilities are likely to ensure hygienic separation of human excreta from human contact. They include flush/pour flush (to piped sewer system, septic tank, pit latrine), ventilated improved pit (VIP) latrine, pit latrine with slab, and composting toilet.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

About this dataset

Context

The dataset presents the median household income across different racial categories in Sauk Village. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of Sauk Village population by race & ethnicity, the population is predominantly Black or African American. This particular racial category constitutes the majority, accounting for 62.23% of the total residents in Sauk Village. Notably, the median household income for Black or African American households is $65,987. Interestingly, Black or African American is both the largest group and the one with the highest median household income, which stands at $65,987.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Sauk Village.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Sauk Village median household income by race. You can refer the same here