Graph and download economic data for Labor Force Participation Rate - 55 Yrs. & over (LNS11324230) from Jan 1948 to Sep 2025 about 55 years +, participation, civilian, labor force, labor, household survey, rate, and USA.

Graph and download economic data for Labor Force Participation Rate - With No Disability, 65 Years and over (LNU01375379) from Jun 2008 to Sep 2025 about 65 years +, disability, participation, civilian, labor force, labor, household survey, rate, and USA.

This dataset contains non-seasonally adjusted California Labor Force Participation Rate by age groups, from the Current Population Survey (CPS). The age group ranges are as follows: 16-19; 20-24; 25-34; 35-44; 45-54; 55-64; 65+. This data is based on a 12-month moving average.

Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and gender. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

Labour Force Participation Rate: 5-Year Bands: Aged 65+ data was reported at 14.600 % in 2024. This records a decrease from the previous number of 16.203 % for 2023. Labour Force Participation Rate: 5-Year Bands: Aged 65+ data is updated yearly, averaging 9.580 % from Dec 1966 (Median) to 2024, with 47 observations. The data reached an all-time high of 40.500 % in 1966 and a record low of 7.697 % in 2004. Labour Force Participation Rate: 5-Year Bands: Aged 65+ data remains active status in CEIC and is reported by International Labour Organization. The data is categorized under Global Database’s Ireland – Table IE.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual.

Graph and download economic data for Labor Force Participation Rate - Men (LNS11300001) from Jan 1948 to Sep 2025 about males, participation, 16 years +, labor force, labor, household survey, rate, and USA.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by gender and detailed age group.

Singapore Labour Force Participation Rate: 5-Year Bands: Aged 65+ data was reported at 31.453 % in 2023. This records a decrease from the previous number of 32.087 % for 2022. Singapore Labour Force Participation Rate: 5-Year Bands: Aged 65+ data is updated yearly, averaging 16.635 % from Dec 1957 (Median) to 2023, with 48 observations. The data reached an all-time high of 32.938 % in 2021 and a record low of 9.010 % in 1998. Singapore Labour Force Participation Rate: 5-Year Bands: Aged 65+ data remains active status in CEIC and is reported by International Labour Organization. The data is categorized under Global Database’s Singapore – Table SG.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual.

YearlyFemale labor force participation rate, male labor force participation rate, female by educational attainment junior high school and below, male by educational attainment junior high school and below, female by educational attainment senior high/vocational, male by educational attainment senior high/vocational, female by educational attainment college or above, male by educational attainment college or above, female by age structure 15 to 24, male by age structure 15 to 24, female by age structure 25 to 29, male by age structure 25 to 29, female by age structure 30 to 34, male by age structure 30 to 34, female by age structure 35 to 39, male by age structure 35 to 39, female by age structure 40 to 44, male by age structure 40 to 44, female by age structure 45 to 49, male by age structure 45 to 49, female by age structure 50 to 54, male by age structure 50 to 54, female by age structure 55 to 59, male by age structure 55 to 59, female by age structure 60 to 64, male by age structure 60 to 64, female by age structure 65 and over

Abstract

Bangladesh Bureau of Statistics (BBS), the National Statistical Organization of the country, has been conducting Labour Force Survey (LFS) since 1980 and repeated it every three/four year until 2013. The surveys could not be held at uniform time intervals due to resource constraint and other reasons. Finally, from July 2015, BBS has undertaken a development project and started implementation of quarterly labour force survey to provide labour market indicators. Gender disaggregated data on labour force, employment, unemployment, underemployment, not in labour force, hours worked, earnings, informal employment. Non-economic activities, volunteer activities are available in this report. The survey found that around half (51.2 per cent) of the 30.5 million employed persons worked more than 48 hours per week. By sex, the proportion of male workers working more than 48 hours (60.9 per cent) was higher than that of female workers (28.4 per cent). By industry, the highest rates of persons in excessive hours were in the Accommodation and food service activities (78.4 per cent), wholesale and retail trade sector (72.9 per cent), manufacturing (69.3 per cent), and households (61.5 per cent).

The primary objective of the survey was to collect comprehensive data on the Labour Force, employment and unemployment of the population aged 15 or older for use by the Government, international organizations, NGOs, researchers and others to efficiently provide targeted interventions. Specific objectives of the survey:

• Provide relevant information regarding the characteristics of the population and household that relate to housing, household size, female-headed households;

• Provide detailed information on education and training, such as literacy, educational attainment and vocational training;

• Provide relevant information on economic activities and the labour force regarding the working-age population, economic activity status and Labour Force participation;

• Provide detailed information on employment and informal employment by occupation and industry, education level and status in employment;

• Provide relevant information on unemployment, the youth labour force participation, youth employment, and youth unemployment;

• Provide other information on decent work regarding earnings from employment, working hours and time-related underemployment, quality and stability of employment, social security coverage, and safety at work, equal opportunities;

• Provide relevant information on non-economic activities, volunteer activities etc.

Geographic coverage

National coverage.

Analysis unit

• Individuals

• Household

Universe

Age is a strong determinant of labour market so a common age cut-off and categories are important. The labour related questions of the survey refer to the population of 15 years old and over. The following age ranges is used in presenting the statistics: 15–24; 25–34; 35–44; 45–54; 55–64; and 65 and over. Besides, LMI is provided separately for youths as the youths are more prone to unstable transition to labour market. However, in setting the minimum LFS coverage age is the fact that the Government of Bangladesh, being aware that many young people, who are unable to continue with higher schooling, enter the labour market instead, has set the legal age for admission to employment at 14 completed years. Given that, inclusion of persons aged 15 years and over may result in the undercount of persons employed or unemployed in the country.

Kind of data

Sample survey data [ssd]

Sampling procedure

The frame used for the selection of sample for the survey was based on the Population and Housing Census 2011. Sampling Frame which was made up of preparing of PSUs that is consists of collapsing one or more Enumeration Area (EAs) that was created for the Population and Housing Census 2011. EAs is geographical contiguous areas of land with identifiable boundaries. On average, each PSUs has 225 households. All the Enumeration areas of the country was identified into three segments viz. Strong, Semi-strong and not-strong based on the housing materials. The frame has 1284 PSUs/EAs spread all over the country, and covers all socio-economic classes and hence able to get a suitable and representative sample of the population. The survey was distributed into twenty-one domains viz. Rural, Urban and City corporations of seven administrative divisions.

From each selected PSUs/EAs, an equal number of 24 households were selected systematically, with a random start. The systematic sampling method was adopted as it enables the distribution of the sample across the cluster evenly and yields good estimates for the population parameters. Selection of the households was done at the HQ and assigned to the Enumerators, with strictly no allowance for replacement of non-responding households. The Bangladesh Quarterly Labor Force Survey (QLFS) sample will be selected in two stages, with small area units called Primary Sampling Units (PSUs) in the first stage and a cluster of 24 households per PSU in the second stage. Both stages are random selections. The survey will implement a rotational panel strategy, in which some of the households in each cluster will be replaced by new households each quarter. The survey launched in July 2015, with a total sample size of about 30,800 households (1,284 PSUs) in each quarter and 123634 in the year 2015-16, intended to deliver reliable quarterly estimates of unemployment and other relevant labor force indicators for of the country's seven divisions and locality viz. national level estimates with disaggregation by City Corporations, Rural and Urban.

The survey involved a sample of 30816 households from 1284 PSUs/sample enumeration areas distributed across all the 64 Districts for each quarter and the ultimate sample households for the year 2015-16 was 126000 in total. The survey covered both urban and rural areas and dwelling households, including one person households. The institutional households, that is, those living in hostels, hotels, hospitals, old homes, military and police barracks, prisons, welfare homes and other institutions were excluded from the coverage of the survey.

Sampling deviation

Most BBS household surveys use a two-stage sampling strategy similar to that of the QLFS, and most of them share a common set of PSUs – the Integrated Multi-Purpose Sample (IMPS) – as a basis for their first sampling stage. However, the QLFS, given the specificities of its rotational strategy, has opted for choosing an independent set of PSUs for this purpose. The first stage sample frame of the QLFS was developed on the basis of the list of Enumeration Areas (EAs) generated by the 2011 Census. Some of the original 293,093 EAs were deemed too small to support the adopted rotational panel strategy, and were joined to neighboring EAs in order to create 146,576 PSUs of more adequate size: most of the resulting PSUs have between 150 and 300 households, with an average of 217. Whenever possible, the EAs with less than 150 households were appended to EAs from the same village, although in the most sparsely populated areas it was sometimes necessary to append entire villages to neighboring villages within the same mauza or mahalla (the lower level administrative division of the country.)2 Entire mauzas or mahallas were never appended to neighboring areas, even if they were too small – they remained as individual PSUs in the sample frame. The second stage sample frame will be a full listing of all households in the selected PSUs. The listings were completed between February and March 2015. If the survey indeed becomes a regular exercise, they should be permanently updated so that they are never older than two years.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Quarterly Labour Force Survey 2015-16 questionnaire comprised 14 sections, as follows:

• Section 1. Household basic information

• Section 2. Household roster (members’ basic information)

• Section 3. General education (for persons aged 5 years or older) & vocational training (for persons aged 15 years or older)

• Section 4. Working status (for persons aged 15 years or older)

• Section 5. Main activities (for persons aged 15 years or older)

• Section 6. Secondary activities (for employed persons aged 15 years or older)

• Section 7. Occupational safety and health within the previous 12 months (for persons aged 15 years or older)

• Section 8. Underemployment (for employed persons aged 15 years or older)

• Section 9. Unemployment (for not employed persons aged 15 years or older)

• Section 10. Own use production of goods (for persons aged 15 years or older)

• Section 11. Own use provision of services (for persons aged 15 years or older)

• Section 12. Unpaid trainee/apprentice work (for persons aged 15 years or older)

• Section 13. Volunteer work (for persons aged 15 years or older)

• Section 14. Migration (for persons aged 15 years or older)

Cleaning operations

With regard to editing and processing errors, several consistency checks were done, both manually and computerized programme using CSPro; batch editing was done using Stata, to ensure the quality and acceptability of the data produced. The Non-sampling error is to ensure high quality data, several steps were taken to minimize non-sampling errors. Unlike sampling errors, these errors cannot be measured and can only be overcome through several administrative procedures. These errors can arise as a result of incomplete survey coverage, frame defect, response error, non-response and

In the first quarter of 2025, the share of employment in the informal sector in Mexico was 54.5 percent. Throughout the whole period under consideration, the fourth quarter of 2015 accounts with the highest share for informal employment with a 57.9 percent. In the contrast, the second quarter of 2020 recorded the lowest share in this sector with around 51 percent. Labor Market overview In 2022, the labor force participation rate in Mexico has remained stable at 65 percent. Nearly 58.5 million people are employed and 1.8 million are unemployed, encompassing over 60 million with those who are fully employed, partially employed, and actively seeking employment. Furthermore, the majority of the workforce was concentrated in the services sector, accounting for nearly two-thirds of the total labor market.
Unemployment Mexico has experienced a consistent decrease in the unemployment rate over the last three years, reaching a rate of 3.31 percent in 2022. The youth population has been particularly affected by this trend, and their level of educational attainment has not been sufficient to mitigate these effects. The primary reason for unemployment has been the termination of contracts, and the lack of job opportunities has resulted in nearly 920,000 people with higher education degrees being unemployed as of 2023.

This map shows median age in the US by country, state, county, tract, and congressional district for 2023. ArcGIS Online account required for use.The pop-up is configured to show median age, median age by sex, child age (under 18) population, senior age (over 65) population, the age dependency ratio, and population by 5 year age increments. Blending is used at the Tract level to highlight areas of human settlement. Congressional district is turned off by default and can be enabled in the Layers pane.Esri 2023 Age Dependency Ratio is the estimated ratio of the child population (Age 0-17) and senior population (Age 65+) to the working-age population (Age 18-64) in the geographic area. This ratio is then multiplied by 100. Higher ratios denote that a greater burden is carried by working-age people. Lower ratios mean more people are working who can support the dependent population. Read more. See Updated Demographics for more information on Esri Demographic variables.Esri Updated Demographics represent the suite of annually updated U.S. demographic data that provides current-year and five-year forecasts for more than two thousand demographic and socioeconomic characteristics, a subset of which is included in this layer. Included are a host of tables covering key characteristics of the population, households, housing, age, race, income, and much more. Esri's Updated Demographics data consists of point estimates, representing July 1 of the current and forecast years.Get started with U.S. Updated DemographicsHow to use and interpret U.S. Updated DemographicsEsri Updated Demographics DocumentationMethodologyEssential Esri Demographics vocabularyThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. This layer requires an ArcGIS Online subscription and does not consume credits. Please cite Esri when using this data. For information about purchasing additional Esri's Updated Demographics data, contact datasales@esri.com. Feedback: we would like to hear from you while this layer is in beta release. If you have any feedback regarding this item or Esri Demographics, please use this survey. Fields available:GEOIDNameState NameState Abbreviation2023 Total Population (Esri)2023 Household Population (Esri)2023 Group Quarters Population (Esri)2023 Population Density (Pop per Square Mile) (Esri)2023 Total Households (Esri)2023 Average Household Size (Esri)2023 Total Housing Units (Esri)2023 Owner Occupied Housing Units (Esri)2023 Renter Occupied Housing Units (Esri)2023 Vacant Housing Units (Esri)2020-2023 Population: Compound Annual Growth Rate (Esri)2020-2023 Households: Compound Annual Growth Rate (Esri)2023 Housing Affordability Index (Esri)2023 Percent of Income for Mortgage (Esri)2023 Wealth Index (Esri)2023 Socioeconomic Status Index (Esri)2023 Generation Alpha Population (Born 2017 or Later) (Esri)2023 Generation Z Population (Born 1999 to 2016) (Esri)2023 Millennial Population (Born 1981 to 1998) (Esri)2023 Generation X Population (Born 1965 to 1980) (Esri)2023 Baby Boomer Population (Born 1946 to 1964) (Esri)2023 Silent & Greatest Generations Population (Born 1945/Earlier) (Esri)2023 Population by Generation Base (Esri)2023 Child Population (Age <18) (Esri)2023 Working-Age Population (Age 18-64) (Esri)2023 Senior Population (Age 65+) (Esri)2023 Child Dependency Ratio (Esri)2023 Age Dependency Ratio (Esri)2023 Senior Dependency Ratio (Esri)2023 Total Population Age 0-4 (Esri)2023 Total Population Age 5-9 (Esri)2023 Total Population Age 10-14 (Esri)2023 Total Population Age 15-19 (Esri)2023 Total Population Age 20-24 (Esri)2023 Total Population Age 25-29 (Esri)2023 Total Population Age 30-34 (Esri)2023 Total Population Age 35-39 (Esri)2023 Total Population Age 40-44 (Esri)2023 Total Population Age 45-49 (Esri)2023 Total Population Age 50-54 (Esri)2023 Total Population Age 55-59 (Esri)2023 Total Population Age 60-64 (Esri)2023 Total Population Age 65-69 (Esri)2023 Total Population Age 70-74 (Esri)2023 Total Population Age 75-79 (Esri)2023 Total Population Age 80-84 (Esri)2023 Total Population Age 85+ (Esri)2023 Median Age (Esri)2023 Male Population (Esri)2023 Median Male Age (Esri)2023 Female Population (Esri)2023 Median Female Age (Esri)2023 Total Population by Five-Year Age Base (Esri)2023 Total Daytime Population (Esri)2023 Daytime Population: Workers (Esri)2023 Daytime Population: Residents (Esri)2023 Daytime Population Density (Pop per Square Mile) (Esri)2023 Civilian Population Age 16+ in Labor Force (Esri)2023 Employed Civilian Population Age 16+ (Esri)2023 Unemployed Population Age 16+ (Esri)2023 Unemployment Rate (Esri)2023 Civilian Population 16-24 in Labor Force (Esri)2023 Employed Civilian Population Age 16-24 (Esri)2023 Unemployed Population Age 16-24 (Esri)2023 Unemployment Rate: Population Age 16-24 (Esri)2023 Civilian Population 25-54 in Labor Force (Esri)2023 Employed Civilian Population Age 25-54 (Esri)2023 Unemployed Population Age 25-54 (Esri)2023 Unemployment Rate: Population Age 25-54 (Esri)2023 Civilian Population 55-64 in Labor Force (Esri)2023 Employed Civilian Population Age 55-64 (Esri)2023 Unemployed Population Age 55-64 (Esri)2023 Unemployment Rate: Population Age 55-64 (Esri)2023 Civilian Population 65+ in Labor Force (Esri)2023 Employed Civilian Population Age 65+ (Esri)2023 Unemployed Population Age 65+ (Esri)2023 Unemployment Rate: Population Age 65+ (Esri)2023 Child Economic Dependency Ratio (Esri)2023 Working-Age Economic Dependency Ratio (Esri)2023 Senior Economic Dependency Ratio (Esri)2023 Economic Dependency Ratio (Esri)2023 Hispanic Population (Esri)2023 White Non-Hispanic Population (Esri)2023 Black/African American Non-Hispanic Population (Esri)2023 American Indian/Alaska Native Non-Hispanic Population (Esri)2023 Asian Non-Hispanic Population (Esri)2023 Pacific Islander Non-Hispanic Population (Esri)2023 Other Race Non-Hispanic Population (Esri)2023 Multiple Races Non-Hispanic Population (Esri)2023 Diversity Index (Esri)2023 Population by Race Base (Esri)2023 Population Age 25+: Less than 9th Grade (Esri)2023 Population Age 25+: 9-12th Grade/No Diploma (Esri)2023 Population Age 25+: High School Diploma (Esri)2023 Population Age 25+: GED/Alternative Credential (Esri)2023 Population Age 25+: Some College/No Degree (Esri)2023 Population Age 25+: Associate's Degree (Esri)2023 Population Age 25+: Bachelor's Degree (Esri)2023 Population Age 25+: Graduate/Professional Degree (Esri)2023 Educational Attainment Base (Pop 25+)(Esri)2023 Household Income less than $15,000 (Esri)2023 Household Income $15,000-$24,999 (Esri)2023 Household Income $25,000-$34,999 (Esri)2023 Household Income $35,000-$49,999 (Esri)2023 Household Income $50,000-$74,999 (Esri)2023 Household Income $75,000-$99,999 (Esri)2023 Household Income $100,000-$149,999 (Esri)2023 Household Income $150,000-$199,999 (Esri)2023 Household Income $200,000 or greater (Esri)2023 Median Household Income (Esri)2023 Average Household Income (Esri)2023 Per Capita Income (Esri)2023 Households by Income Base (Esri)2023 Gini Index (Esri)2023 P90-P10 Ratio of Income Inequality (Esri)2023 P90-P50 Ratio of Income Inequality (Esri)2023 P50-P10 Ratio of Income Inequality (Esri)2023 80-20 Share Ratio of Income Inequality (Esri)2023 90-40 Share Ratio of Income Inequality (Esri)2023 Households in Low Income Tier (Esri)2023 Households in Middle Income Tier (Esri)2023 Households in Upper Income Tier (Esri)2023 Disposable Income less than $15,000 (Esri)2023 Disposable Income $15,000-$24,999 (Esri)2023 Disposable Income $25,000-$34,999 (Esri)2023 Disposable Income $35,000-$49,999 (Esri)2023 Disposable Income $50,000-$74,999 (Esri)2023 Disposable Income $75,000-$99,999 (Esri)2023 Disposable Income $100,000-$149,999 (Esri)2023 Disposable Income $150,000-$199,999 (Esri)2023 Disposable Income $200,000 or greater (Esri)2023 Median Disposable Income (Esri)2023 Home Value less than $50,000 (Esri)2023 Home Value $50,000-$99,999 (Esri)2023 Home Value $100,000-$149,999 (Esri)2023 Home Value $150,000-$199,999 (Esri)2023 Home Value $200,000-$249,999 (Esri)2023 Home Value $250,000-$299,999 (Esri)2023 Home Value $300,000-$399,999 (Esri)2023 Home Value $400,000-$499,999 (Esri)2023 Home Value $500,000-$749,999 (Esri)2023 Home Value $750,000-$999,999 (Esri)2023 Home Value $1,000,000-$1,499,999 (Esri)2023 Home Value $1,500,000-$1,999,999 (Esri)2023 Home Value $2,000,000 or greater (Esri)2023 Median Home Value (Esri)2023 Average Home Value (Esri)2028 Total Population (Esri)2028 Household Population (Esri)2028 Population Density (Pop per Square Mile) (Esri)2028 Total Households (Esri)2028 Average Household Size (Esri)2023-2028 Population: Compound Annual Growth Rate (Esri)2023-2028 Households: Compound Annual Growth Rate (Esri)2023-2028 Per Capita Income: Compound Annual Growth Rate (Esri)2023-2028 Median Household Income: Compound Annual Growth Rate (Esri)2028 Diversity Index (Esri)2028 Median Household Income (Esri)2028 Average Household Income (Esri)2028 Per Capita Income (Esri)

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by gender and detailed age group.

Graph and download economic data for Employment-Population Ratio - 25-54 Yrs. (LNS12300060) from Jan 1948 to Sep 2025 about 25 to 64 years, employment-population ratio, population, employment, and USA.

劳动人口参与率：女性：5年为一个年龄段：55-59岁在12-01-2024达68.451%，相较于12-01-2023的68.390%有所增长。劳动人口参与率：女性：5年为一个年龄段：55-59岁数据按年更新，12-01-1960至12-01-2024期间平均值为52.868%，共49份观测结果。该数据的历史最高值出现于12-01-2024，达68.451%，而历史最低值则出现于12-01-1960，为28.330%。CEIC提供的劳动人口参与率：女性：5年为一个年龄段：55-59岁数据处于定期更新的状态，数据来源于International Labour Organization，数据归类于全球数据库的韩国 – Table KR.ILO.LFS: Labour Force Participation Rate: By Sex and Age: Annual。

Approximately 14.1 percent of people aged 16 to 24 were unemployed in the United Kingdom in the second quarter of 2025, the highest of any age group in that month. During this time period, older age groups have had much lower unemployment rates than younger ones, who have consistently had the highest unemployment rate. For almost all the age groups, the peak in the unemployment rate was recorded in 2011 when almost a quarter of young working age people were unemployed. Young adults in the labor market In the provided time period, youth unemployment was at its lowest rate in the third quarter of 2022, when it was 10.3 percent. Since then, there has been a noticeable uptick in youth unemployment, which was 14.8 percent towards the end of 2024. A more long-term trend among this age group is the increase in economic inactivity, with 40.8 percent of 16 to 24-year-old's not in work or actively looking for work in 2024. Although students or people in training account for a high share of this economic inactivity, there has also been a rise in the proportion of young adults who are not in education, employment or training (NEET), which reached a ten-year-high of 13.2 percent in late 2024. Unemployment up from low baseline in late 2024 In 2022, the UK labor market, had very low levels of unemployment along with a record number of job vacancies. Throughout 2023 and 2024, this very tight labor market began to loosen, although is still quite low by historic standards. One indicator that has stood out since the COVID-19 pandemic, however, has been the number of people economically inactive due to being on long-term sick leave, which reached 2.82 million in the first quarter of 2024, and has been the main reason for economic inactivity in the UK since late 2021.

As of January 1, 2023, the aggregate Egyptian population stood at 104.46 million inhabitants. The majority of the population was between zero and four years, adding to over 14 million children. Moreover, the population of Egypt is skewed towards the younger generations, with the population count in each older generation being lower than the previous. The elderly aged 75 years and older amounted to almost one million people. A population that doubled twice Since 1952, the Egyptian population has doubled, in 1980 and 2012, reaching almost 86.5 million. Among the reasons linked to the increasing population is better health services provided for most Egyptians since the establishment of the Egyptian Republic. In more recent years, the population growth in the country increased compared to previous years until 2014, reaching 2.34 percent before decreasing yearly. A job market that needs to absorb a young and growing population Since 2022, the number of new jobs created in the country has recovered compared to between 2018 and 2020. This is evident with the dropping youth unemployment rate in Egypt. However, the youth unemployment rate remains relatively high and stood at 15.7 percent in 2022. This poses a considerable obstacle for a young-growing population looking for work opportunities. In addition, the country registered a drop in youth participation rate in the labor force since 2013 (except for a slight increase in 2021). The rate was almost 20.6 percent in 2020 compared to 34.5 percent seven years prior. 

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.

Nigeria's population structure reveals a youthful demographic, with those aged **** years comprising the largest age group compared to the total of those between the ages of 30 and 84 years. The majority of the young population are men. This demographic trend has significant implications for Nigeria's future, particularly in terms of economic development and social services. It has the potential to offer a large future workforce that could drive economic growth if it is adequately educated and employed. However, without sufficient investment in health, education, and job creation, this youth bulge could strain public resources and fuel unemployment and social unrest. Poverty challenges amid population growth Despite Nigeria's large youth population, the country faces substantial poverty challenges. This is largely due to its youth unemployment rate, which goes contrary to the expectation that the country’s large labor force would contribute to employment and the economic development of the nation. In 2022, an estimated **** million Nigerians lived in extreme poverty, defined as living on less than **** U.S. dollars a day. This number is expected to rise in the coming years, indicating a growing disparity between population growth and economic opportunities. The situation is particularly dire in rural areas, where **** million people live in extreme poverty compared to *** million in urban centers. Linguistic and ethnic diversity Nigeria's population is characterized by significant linguistic and ethnic diversity. Hausa is the most commonly spoken language at home, used by ** percent of the population, followed by Yoruba at ** percent and Igbo at ** percent. This linguistic variety reflects Nigeria's complex ethnic composition, with major groups including Hausa, Yoruba, Igbo, and Fulani. English, the country's official language, serves as the primary language of instruction in schools, promoting literacy across diverse communities.