South Africa is the sixth African country with the largest population, counting approximately 60.5 million individuals as of 2021. In 2023, the largest city in South Africa was Cape Town. The capital of Western Cape counted 3.4 million inhabitants, whereas South Africa's second largest city was Durban (eThekwini Municipality), with 3.1 million inhabitants. Note that when observing the number of inhabitants by municipality, Johannesburg is counted as largest city/municipality of South Africa.

From four provinces to nine provinces

Before Nelson Mandela became president in 1994, the country had four provinces, Cape of Good Hope, Natal, Orange Free State, and Transvaal and 10 “homelands” (also called Bantustans). The four larger regions were for the white population while the homelands for its black population. This system was dismantled following the new constitution of South Africa in 1996 and reorganized into nine provinces. Currently, Gauteng is the most populated province with around 15.9 million people residing there, followed by KwaZulu-Natal with 11.68 million inhabiting the province. As of 2022, Black African individuals were almost 81 percent of the total population in the country, while colored citizens followed amounting to around 5.34 million.

A diverse population

Although the majority of South Africans are identified as Black, the country’s population is far from homogenous, with different ethnic groups usually residing in the different “homelands”. This can be recognizable through the various languages used to communicate between the household members and externally. IsiZulu was the most common language of the nation with around a quarter of the population using it in- and outside of households. IsiXhosa and Afrikaans ranked second and third with roughly 15 percent and 12 percent, respectively.

As of 2023, South Africa's population increased and counted approximately 62.3 million inhabitants in total, of which the majority inhabited Gauteng, KwaZulu-Natal, and the Western-Eastern Cape. Gauteng (includes Johannesburg) is the smallest province in South Africa, though highly urbanized with a population of over 16 million people according to the estimates. Cape Town, on the other hand, is the largest city in South Africa with nearly 3.43 million inhabitants in the same year, whereas Durban counted 3.12 million citizens. However, looking at cities including municipalities, Johannesburg ranks first. High rate of young population South Africa has a substantial population of young people. In 2024, approximately 34.3 percent of the people were aged 19 years or younger. Those aged 60 or older, on the other hand, made-up over 10 percent of the total population. Distributing South African citizens by marital status, approximately half of the males and females were classified as single in 2021. Furthermore, 29.1 percent of the men were registered as married, whereas nearly 27 percent of the women walked down the aisle. Youth unemployment Youth unemployment fluctuated heavily between 2003 and 2022. In 2003, the unemployment rate stood at 36 percent, followed by a significant increase to 45.5 percent in 2010. However, it fluctuated again and as of 2022, over 51 percent of the youth were registered as unemployed. Furthermore, based on a survey conducted on the worries of South Africans, some 64 percent reported being worried about employment and the job market situation.

About this dataset

Context

The dataset tabulates the population of Cape Vincent town by race. It includes the population of Cape Vincent town across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Cape Vincent town across relevant racial categories.

Key observations

The percent distribution of Cape Vincent town population by race (across all racial categories recognized by the U.S. Census Bureau): 77.08% are white, 11.54% are Black or African American, 0.55% are American Indian and Alaska Native, 1.10% are Asian, 3.31% are some other race and 6.42% are multiracial.

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: This column displays the racial categories (excluding ethnicity) for the Cape Vincent town
• Population: The population of the racial category (excluding ethnicity) in the Cape Vincent town is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Cape Vincent town total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Cape Vincent town Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Cape Vincent population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Cape Vincent. The dataset can be utilized to understand the population distribution of Cape Vincent by age. For example, using this dataset, we can identify the largest age group in Cape Vincent.

Key observations

The largest age group in Cape Vincent, NY was for the group of age 15 to 19 years years with a population of 69 (12.06%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Cape Vincent, NY was the 85 years and over years with a population of 7 (1.22%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Cape Vincent is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Cape Vincent total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Cape Vincent Population by Age. You can refer the same here

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 Although South Africa’s yearly population growth has been dropping since 2013, the growth rate still stood above the world average in 2021. That year, the global population increase reached 0.94 percent, while for South Africa, the rise was 1.23 percent. The majority of the people lived in the borders of Gauteng, the smallest of the nine provinces in land area. The number of people residing there amounted to 15.9 million in 2021. Although Western Cape was the third-largest province, one of it cities, 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 third quarter of 2022, the unemployment rate reached close to 60 percent and 42.9 percent among people aged 15-24 and 25-34 years, respectively. In the same period, some 25 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 71.2 percent.

2021 Ethekwini Metro Male and Female Population Demographics Estimates by Stats SA

Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.

South Africa Population: Mid Year: Eastern Cape: Female: 15 to 19 Years data was reported at 293,279.000 Person in 2018. This records an increase from the previous number of 292,188.219 Person for 2017. South Africa Population: Mid Year: Eastern Cape: Female: 15 to 19 Years data is updated yearly, averaging 387,401.110 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 430,225.713 Person in 2006 and a record low of 292,188.219 Person in 2017. South Africa Population: Mid Year: Eastern Cape: Female: 15 to 19 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

Graph and download economic data for Population Estimate, Total (5-year estimate) in Cape May County, NJ (B03002001E034009) from 2009 to 2023 about Cape May County, NJ; Ocean City; NJ; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in Cape May County, NJ (B03002018E034009) from 2009 to 2023 about Cape May County, NJ; Ocean City; NJ; latino; hispanic; estimate; persons; 5-year; population; and USA.

South Africa Population: Mid Year: Eastern Cape: 20 to 24 Years data was reported at 531,545.000 Person in 2018. This records a decrease from the previous number of 568,062.743 Person for 2017. South Africa Population: Mid Year: Eastern Cape: 20 to 24 Years data is updated yearly, averaging 620,146.947 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 671,734.772 Person in 2009 and a record low of 482,541.064 Person in 2001. South Africa Population: Mid Year: Eastern Cape: 20 to 24 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

About this dataset

Context

The dataset tabulates the Cape Vincent population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Cape Vincent across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Cape Vincent was 728, a 0.68% decrease year-by-year from 2022. Previously, in 2022, Cape Vincent population was 733, a decline of 0.81% compared to a population of 739 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Cape Vincent decreased by 26. In this period, the peak population was 754 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Cape Vincent is shown in this column.
• Year on Year Change: This column displays the change in Cape Vincent population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Cape Vincent Population by Year. You can refer the same here

Geographic coverage

The 1985 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal. It also covered the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

The 1985 Census dataset contains 9 data files. These refer to Development Regions demarcated by the South African Government according to their socio-economic conditions and development needs. These Development Regions are labeled A to J (there is no Region I, presumably because Statistics SA felt an "I" could be confused with the number 1). The 9 data files in the 1985 Census dataset refer to the following areas:

DEV REGION AREA COVERED A Western Cape Province including Walvis Bay B Northern Cape C Orange Free State and Qwaqwa D Eastern Cape/Border E Natal and Kwazulu F Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu G Northern Transvaal, Lebowa and Gazankulu H PWV area, Moutse and KwaNdebele J Western Transvaal

Analysis unit

The units of analysis under observation in the South African census 1985 are households and individuals

Universe

The South African census 1985 census covered the provinces of the Cape, the Orange Free State, Transvaal, and Nata and the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele. The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Although the census was meant to cover all residents of the so called white areas of South Africa, in 88 areas door-to-door surveys were not possible and the population in these areas was enumerated by means of a sample survey conducted by the Human Sciences Research Council.

Mode of data collection

Face-to-face [f2f]

Research instrument

The1985 population census questionnaire was administered to each household and collected information on household and area type, and information on household members, including relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activities

Data appraisal

UNDER-ENUMERATION: The following under-enumeration figures have been calculated for the 1985 census. Estimated percentage distribution of undercount by race according to the HSRC: Percent undercount
Whites 7.6%
Blacks in the “RSA” 20.4% Blacks in the “National States” 15.1% Coloureds 1.0% Asians 4.6%

South Africa Population: Mid Year: Eastern Cape: Female: 50 to 54 Years data was reported at 150,108.000 Person in 2018. This records a decrease from the previous number of 150,446.070 Person for 2017. South Africa Population: Mid Year: Eastern Cape: Female: 50 to 54 Years data is updated yearly, averaging 150,578.442 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 154,937.573 Person in 2012 and a record low of 123,356.122 Person in 2001. South Africa Population: Mid Year: Eastern Cape: Female: 50 to 54 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

As of 2022, South Africa's population increased and counted approximately 60.6 million inhabitants in total, of which the majority (roughly 49.1 million) were Black Africans. Individuals with an Indian or Asian background formed the smallest population group, counting approximately 1.56 million people overall. Looking at the population from a regional perspective, Gauteng (includes Johannesburg) is the smallest province of South Africa, though highly urbanized with a population of nearly 16 million people.

Increase in number of households

The total number of households increased annually between 2002 and 2022. Between this period, the number of households in South Africa grew by approximately 65 percent. Furthermore, households comprising two to three members were more common in urban areas (39.2 percent) than they were in rural areas (30.6 percent). Households with six or more people, on the other hand, amounted to 19.3 percent in rural areas, being roughly twice as common as those in urban areas.

Main sources of income

The majority of the households in South Africa had salaries or grants as a main source of income in 2019. Roughly 10.7 million drew their income from regular wages, whereas 7.9 million households received social grants paid by the government for citizens in need of state support.

The data deposited include:

1. South Africa wards on consistent spatial boundaries for 2001 and 2011 with Index of Multiple deprivation and domain scores (ArcGIS TM shapefile format ward boundaries, attributes in comma separated values (csv) format)
2. Cape Town population grid for 2001: unemployment rates (ArcGIS TM shapefile format grid square boundaries with linked atrributes)
3. Cape Town population grid for 2011: unemployment rates (ArcGIS TM shapefile format grid square boundaries with linked atrributes)

In each case, a metadata file is provided in comma separated values (csv) format.

The project also funded inclusion of a bespoke question on inequalities in the 2017 round of the South African Social Attitudes Survey (SASAS).

The 2017 SASAS data are available through the Human Sciences Research Council: http://www.hsrc.ac.za/en/departments/sasas

This project provides an innovative analysis of how people's lived experiences of socio-economic inequality are shaped by the complex dynamics of urban change in South Africa and how such experiences in turn shape the country's urban social fabric. The collaboration was between Queen's University Belfast (QUB) (the project moved from the University of Liverpool (UoL)), Southern African Social Policy Research Insights (SASPRI) and the Human Sciences Research Council (HSRC) and comprised an inter-disciplinary team (Geography, Demography, Social Policy and Urban Planning) with complementary areas of expertise in relation to socioeconomic inequality and urban population change. The project relates to the themes of diversity, migration and practice.

South Africa continues to be a deeply unequal society with markedly different standards of living across population groups (or race) and spatially. The current evidence base concerning inequality in South Africa is relatively small, and says little about the changing geographies of inequalities, the associated impacts which are felt on the ground as individuals' 'lived experience' of inequality, and consequences for the urban social fabric of the country. In this project quantitative and qualitative methods were combined to examine the interplay between urban spatial transformation and social attitudes towards inequality, attachment to place, and social inclusion.

The three-year research programme had four parts: (i) Mapping the changing geographies of inequality across South Africa between 1996 and 2011. Measures of spatial evenness and clustering were generated to characterise the spatial context of areas. (ii) Focus groups were undertaken in Cape Town to explore the factors and processes that shape people's experiences of inequality, and whether people's experiences of inequality affect their attachment to place and sense of social inclusion. (iii) Surveying people's experiences of inequality and their attitudes to inequality. A new module of inequality-related questions was included in the 2017 round of the nationally representative South African Social Attitudes Survey (SASAS). (iv) Testing whether people's attitudes to inequality are associated with their experiences of inequality using new/refined dependent and independent variables in multilevel regression models. The quantitative spatial measures developed in (i) were linked to the SASAS 2017 data to develop a more nuanced analytical appreciation of how inequality impacts on residents' lives and their attitudes about inequality and redress.

The results of this project offer important new insights which will support national and local government when developing evidence-based policies to tackle inequality. It will enable policies in the areas of housing, urban planning and poverty alleviation to be informed by analysis of the lived experience of inequality, derived from an inter-play of highly context-specific qualitative enquiry and cutting-edge quantitative techniques.

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Black or African American Alone (5-year estimate) in Cape Girardeau County, MO (B03002014E029031) from 2009 to 2023 about Cape Girardeau County, MO; Cape Girardeau; African-American; MO; latino; hispanic; estimate; persons; 5-year; population; and USA.

Graph and download economic data for Resident Population in Cape Girardeau, MO-IL (MSA) (CGJPOP) from 2000 to 2024 about Cape Girardeau, IL, MO, residents, population, and USA.

South Africa Population: Mid Year: Eastern Cape: Female: 35 to 39 Years data was reported at 204,655.000 Person in 2018. This records an increase from the previous number of 200,308.887 Person for 2017. South Africa Population: Mid Year: Eastern Cape: Female: 35 to 39 Years data is updated yearly, averaging 182,441.749 Person from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 204,655.000 Person in 2018 and a record low of 176,301.045 Person in 2011. South Africa Population: Mid Year: Eastern Cape: Female: 35 to 39 Years data remains active status in CEIC and is reported by Statistics South Africa. The data is categorized under Global Database’s South Africa – Table ZA.G004: Population: Mid Year: by Province, Age and Sex.

About this dataset

Context

The dataset tabulates the population of West Cape May by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of West Cape May across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of female population, with 50.27% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the West Cape May is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of West Cape May total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 West Cape May Population by Race & Ethnicity. You can refer the same here