24 report(s) found.
The table below illustrates the number of people working in each job, divided into three age groups. Overall, the youngest age group ranges from 18 to 25, with the largest number of people choosing retail sphere, while the oldest employees tend to work in manufacturing. Meanwhile, many people in the middle group of age 25-40 […]
Table illustrates the number of worker people in various employment categories in the different age groups, ranging from 18 to 65. Overall, elders people were more successful in the sectors like manufacturing,local government,and education. While younger generations prevail in the category of employment like retail or other industries. To begin with 18-25 group, as many […]
The table below juxtaposes the employment rates of ten sectors of the economy across three surveyed age brackets: 18-25, 25-40, and 40-65. What is most striking when looking at the table is that no particular sector is predominant across all age groups, whereas the most proportionate distribution can be seen in law. It is also […]
The table delineates the distribution of employment across ten distinct sectors among individuals in three age brackets—18-25, 25-40, and 40-65 years old. Figures are expressed as percentages, offering insight into how career choices vary with age. Overall, the data reveal striking divergences between age groups in their occupational preferences. Younger workers are predominantly clustered in […]
The data table shows information about job sectors in which people from three age groups (18-25, 25-40, and 40-65) employed. The figures are given in number. Overall, the amount of people worked highly in the sector of retail, manufacturing, and other across the age groups. Meanwhile, the least number of people employed in accountacy sector. […]
The provided table illustrates the information about the 10 employment districts in which people are separated into three worker groups aged 18–25, 25–40, and 40–65. From an overall perspective, the sectors with the highest employment are other and manufacturing, while health, education, and local government occupy a middle number of workers. Sectors like law, agriculture, […]
The data illustrates information about a range of job sectors that individuals of 3 age groups have worked in. Overall, those who worked in agriculture, manufacturing, local government, and education increased with age; however, those involved in catering, retail and unclassified jobs decreased in number. Individuals in the health sector, law and accountancy remained steady […]
The data shows the different careers of 3 separate age ranges, including 10 sectors that are illustrated in the table. Overall, it can be clearly seen that manufacturing and retail have the biggest changes in the types of occupations, with accounting having the least. To begin, the manufacturing and retail departments have almost identical rates […]
The illustrated table provides data about employment section between different age groups of people. Overall, It can be clearly seen that 18-25 age group of people works in retail sector, the 40-65 ages works in manufacturing sphere, meanwhile majority of people of 25-40 ages works in other fields. The lowest rate of job in all […]
The table illustrates the number of employees in each sector for 3 different age groups. Overall, it is evident that while the 18-25 age group makes up the majority of people in the retail sector, the 40-65 group predominantly works at the manufacturing sector. Additionally, the highest number of workers in the 25-40 age group […]
The table showcases the various employment sectors people from three distinct age groups engage in along with the number of individuals involved in each. Overall, individuals aged between 10 and 25 have the highest involvement in the retail sector. In contrast, people 25 years old or above and below 40 are mostly enrolled in sectors […]
The given table illustrates information about employees who work in various sectors across three different age groups, ranging from 18 to 65. Overall, there are several types of sectors where individuals of these three different age groups are employed. Among these age groups, the highest number of people work in the manufacturing sector. Conversely, the […]
The given table illustrates the information about employs who work in several sectors n 3 deferent age of groups which in between 18 to 65. Overall, there are several type of sectors where three different ages of individuals working as an employ. In this three different ages of individuals, the highest number of people work […]
The table presents information about the employment sectors from 3 age groups workers. Looking from an overall perspective, the highest number of workers in manufacturing are aged from 40 to 65 and in retail are aged from 18 to 25. It is seen from the table that the largest number of employees are in the […]
• The given table chart represents the information about the employment given six sectors namely; agriculture, catering, government, health care, law and education in which individuals from 3 age groups (18-25, 25-40, 40-45) worked. • Age group of 40-45 majorly worked in agricultural sector with 50%, seeing catering, government and health care was seen very […]
The table illustrates the number of people from three different age groups (18-25, 25-40 and 40-65), and the nine types of jobs they follow. Overall, the lowest proportion of people from all age groups worked as accountants. People aged between 18 and 25 preferred to work in retail, while the middle-aged people worked in health […]
The chart below displays data about the workplace environments in which people from 3 different age categories operated Overall, there are three age groups (18-25; 25-40; 40-65), and plenty of various employment sectors. In addition, in these sectors number of workers from all three age groups do not exceed more than 23 individuals. Generally, the […]
The scheme illustrates data about the employment sectors and the different age groups of workers. Overall, the manufacturing sector had the highest contribution among all three age groups, while the accountancy segment had the lowest percentage. The share of manufacturing employment was significant, contributing 23% within the oldest age group. The difference between the youngest […]
The scheme illustrates a data about the employment sectors and different age groups of workers. Overall, the manufacturing sector was the highest contribution among all three age groups. Meanwhile, the accountancy segment was the least percentage. The share of manufacturing was one of the common employment sectors, which contributed of 23 by oldest age group. […]
The table compares the percentage of people from three age groups working in different occupations. Overall, it can be seen that manufacturing was the most popular job among people over 25 years old, while accountancy had the lowest rate of workers in all age groups. In the age group of 18-25, the number of workers […]
The table illustrates the number of employees working in various industries, grouped by different age ranges. Overall, the least popular sectors for employment are law and accountancy for all 3 age groups, while manufacturing industry has the largest number of workers who are over 25. In terms of young individuals who are below 25, a […]
The table illustrates the data of workforce industry in which people from 3 age groups worked. Unit was measured by percentage. In terms of 18-25 age group, The most popular industry was retail with 23 as opposite the least amount of them elect accountancy by 3 . Followed this, manufacturing and health was accounted for […]
3. The table shows the sector of economy which is different age groups for employment. Generally, retail is higher employment sector of the economy than others, in 18-25 age groups. Followed by other employment sector in 25-40 age group and manufacturing employment sector in 40-65 age group. From the table, in 18-25 age groups, retail […]
The provided table highlights data on the number of individuals in three age categories who worked in given the job fields. Broadly, it can be seen that law and accountancy have the lowest count in all columns, while called other leads in the first and second pillars. However, manufacturing has the highest number in the […]